Public Library of Science
Is the platelet to lymphocyte ratio a promising biomarker to distinguish acute appendicitis? Evidence from a systematic review with meta-analysis
DOI 10.1371/journal.pone.0233470 , Volume: 15 , Issue: 5

Table of Contents




BackgroundAlthough several previous studies have examined the association between the platelet to lymphocyte ratio (PLR) and acute appendicitis (AA), findings have been controversial. We aimed to systematically assess the available evidence to elucidate the overall relationship between the PLR and AA.MethodsPubmed and Embase databases were searched for all available published literature before August, 2019 by two independent investigators for observational studies reporting the association between the PLR and AA. Random effects models were applied for all meta-analyses. Pooled standardized mean difference (SMD) and 95% confidence interval (CI) were calculated as effect estimates.ResultsEleven articles met the inclusion criteria and included in this study. Meta-analysis showed that the level of PLR in the AA group was significantly higher than that in the control group (SMD: 1.19, 95% CI: 0.75 to 1.62, P<0.001). A series of subgroup analyses were conducted to investigate the heterogeneity, showing a significant increase in PLV levels in adults with age ≥30 years (SMD: 1.46, 95% CI: 0.89 to 2.02),compared to those in adult <30 years(SMD: 0.58, 95% CI: 0.12 to 1.04) or in children (SMD: 1.03, 95% CI: 0.51 to 1.56). Compared to non-AA controls, a significant increased PLR level was also observed in non-perforated AA (SMD: 1.23, 95% CI: 0.88 to 1.59) and in AA patients during pregnancy (SMD: 0.70, 95% CI: 0.36 to 1.04), while not in perforated AA (SMD: 2.28, 95% CI: -1.72 to 6.28).ConclusionsA significant increase in PLR level is found in patients with AA, indicating that PLR is a promising biomarker for AA. PLR provides a convenient option for emergency department to quickly screen for clinically or radiologically confirmed AA awaiting appendectomy, especially for pregnant women suspected of having AA. More high-quality evidence is needed to further confirm the diagnostic accuracy of PLR for AA.

Liu, Shao, Yu, Zhang, Wang, Mei, and Chalmers: Is the platelet to lymphocyte ratio a promising biomarker to distinguish acute appendicitis? Evidence from a systematic review with meta-analysis


Acute appendicitis (AA) affects approximately 50000 and 300000 individuals annually who receive appendectomies in the UK and in the US, respectively [1]. It has been proposed that AA is characterized by a series of pathophysiological events including obstruction of the appendix lumen, reduced blood flow to the appendix, destruction of mucosal barrier function, bacterial invasion, inflammatory cell infiltration, tissue hypoxia, necrosis and even perforation [2, 3]. It is reported that perforation may occur in 13–20% of AA patients [4, 5].

Due to the uncertainty of its aetiology, the confirmation or elimination of the diagnosis of appendicitis is the primary concern. If AA is suspected, how to stratify simple and complex appendicitis is also highly significant. Though several diagnostic approaches have been widely applied in clinical practice [610], the optimum strategy with non-invasiveness or radiation-free imaging modalities or other laboratory examinations has still not reached consensus, representing a long march for both the patients and surgeons to go.

In the last decades, findings from studies on commonly used blood biomarkers are used to aid the diagnosis of suspected AA patient, especially in children, pregnant women or women of fertile age, and elderly patients. Those inflammatory markers, such as C-reactive protein (CRP), mean platelet volume (MPV), platelet (PLT), platelet distribution width (PDW) and red blood cell distribution width (RDW) or other blood biomarkers, can help identify AA with a certain specificity and sensitivity [1119].

Recent, increasing evidence suggests that platelet to lymphocyte ratio (PLR) may serve as an inflammatory marker used as a diagnostic or prognostic indicator for various diseases [2025]. PLR has been shown to be a promising predictive factor for patients with suspected AA [2628]. A recent study also indicated that the PLR was potent predictor for the differential diagnosis of AA and other disease status [29]. However, the clinical significance of this parameter in patients suspected AA remains unclear. The primary aim of the study was to investigate the relationships between the PLR and AA based on the cumulating evidence of published literature.


This study was performed and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement [30] and AMSTAR (Assessing the methodological quality of systematic reviews) Guidelines. The protocol for this meta-analysis was registered on PROSPERO (CRD42019146140). The PRISMA checklist is presented in S1 Table.

Literature search

In August, 2019, a comprehensive literature search was performed using online databases by two independent authors, including PubMed, Embase and Cochrane Library. Relevant observational studies were identified that evaluated the association between the PLR level and AA. Search terms including Mesh terms or free text words were listed as follows: “Appendicitis”, “Appendectomy”, “Lymphocyte Count”, “platelet to lymphocyte ratio”, “platelet lymphocyte ratio”, OR “platelet-to-lymphocyte ratio” or “PLR”. Detailed search strategies are provided in S1 File. In addition, manual reference search of eligible literature was screened to further identify potential missing publications.

Study selection

Two independent authors screened the searched relevant studies based on each record’s title or abstract. Full texts were further read after the initial screening process according to the eligibility criteria. Disagreements were resolved by discussion or by a third author by tracing the original article.

Inclusion and exclusion criteria

Studies were consider eligible if they satisfied the following criteria: (1) provided the association between the PLR level and AA; (2) the mean concentration and its standard difference (SD) of the PLR level could be obtained from original studies for both AA patients and controls (healthy controls, healthy pregnant women, outpatient clinic patients without AA, and patients with negative appendectomy) or could be calculated using the indirect methods [31, 32]; (3) provided data for the estimation of the standardized mean difference (SMD) and 95% confidence limit (CI) for the concentrations of PLR level. The exclusion criteria included: (1) reviews, comments, or meta-analysis without original data for meta-analysis; (2) studies without adequate data for abstraction; and (3) irrelevant or duplicated publications.

Data extraction and risk of bias assessment

Pairs of independent authors extracted data from the published articles using a predefined data abstraction form. Variables concerning the study design, population characteristics and laboratory index were investigated including first author, publication year, study country and design, sample size of the study, sex percent, mean age of the participants, the blood index studied, and the type of appendicitis.

Study quality assessment

The quality of each included study was evaluated using the Newcastle–Ottawa Quality Assessment Scale (NOS) [33]. Three domains of this scale regarding study selection, comparability, and outcome were scored with a total of nine points for observational studies. Studies obtaining a score of 7 to 9, 3 to 6, and 0 to 3 points were judged as high, moderate, and low quality, respectively [34].

Statistical analysis

All analyses were performed using the STATA software (version 12.0; Stata Corporation). Data were collected as means ± standard deviation (SD) to estimate the pooled effect estimates. Meta-analysis was carried out using standardized mean difference (SMD) and 95% confidence limit (CI) for assessing the association between the PLR levels and AA. The random effects model, a most common and conservative approach to combine study estimates, was applied for all meta-analyses considering the between-study difference [35]. To test the stability of the meta-analysis results, we also performed the “leave-one-out” sensitivity analyses by omitting one study at each time and examining the influence of each individual study on the summary effect estimate.

Heterogeneity assessment

Cochran’s Q test and I2 statistic were evaluated to assess the inter-study heterogeneity. I2 of 0–25%, 26–50%, 51–75% and 76–100% indicates insignificant heterogeneity, low heterogeneity, moderate heterogeneity, and high heterogeneity, respectively [36]. To further investigate the potential source of inter-study heterogeneity, we also conducted subgroup analyses based on different available variables, including sample size (≥500 vs. <500), study continent (Europe vs. Asia), patient age (adult <30 years vs. ≥30 years vs. children), appendicitis type (perforated AA vs. non-perforated AA vs. AA during pregnancy), NOS score (high quality vs. fair or low quality) and controls (healthy controls vs. healthy pregnant women vs. outpatient clinic patients without AA vs. patients with negative appendectomy).

Publication bias assessment

Publication bias was assessed by visual inspection of the funnel plot symmetry and quantitatively by Egger’s and Begg’s tests, with a P value less than 0.05 indicating significant publication bias [37]. When publication bias existed, the Duvall and Tweedle trim-and-fill analysis would be performed to test the effects of missed study on overall effect estimates [38].


Literature search

Our initial literature search through databases identified a total of 5446 records. After removing 1214 duplicates, the remaining 4232 records were reviewed based on the title or abstract reading by two independent authors. During this stage, 4208 irrelevant studies were excluded. Twenty-four articles were retrieved and reviewed based on full text. Finally, 11 articles met the inclusion criteria and were included in our meta-analysis [2628, 3946]. Fig 1 presenting a flow diagram depicts the results of the study selection process for this meta-analysis.

Flow diagram of the literature search and screening process.
Fig 1
Flow diagram of the literature search and screening process.

Study characteristics

The baseline characteristics of each included study are shown in Table 1 . A total of 11 studies were included in our meta-analysis with their sample size ranging from 63 to 650 subjects. The included studies were published between 2015 and 2019. Mean age of the participants ranged between 9.34 and 40 years. Two studies involved participants of pregnant women. Ten of the 11 studies reported adult patients while one included pediatric patients [28]. Five studies extracted effect estimates using indirect methods proposed by Wan et al. [26,27,40,41,45]. Most of the included studies were conducted in Europe and Asia. All of the studies used a retrospective case-control design. Based on the NOS scoring system, 8 studies ranked as high-quality (NOS score≥7) and the others as were classified as moderate in quality assessment (NOS score<7) (S2 Table).

Table 1
Characteristics of included studies.
StudyYearCountrySample sizeCase no.Controls and no.Sex (male)/female %Age(mean), yearsBiomarker studiedAppendicitis type
Pehlivanli F2019Turkey558458/14Negative appendectomy; 86Males 55.2%; Females 44.8%34.24WBC, PLT, MPV, NLR, PLRAcute appendicitis, perforated appendicitis
Yazar FM2018Turkey640511/54Negative appendectomy; 75Positive appendectomy (Males 54.7%; Females 45.3%); Negative appendectomy (Males 45.3%; Females 54.7%)Positve appendectomy 39.23: Negative appendectomy 35.27WBC, CRP, NLR, PLRAcute appendicitis
Cinar H2018Turkey9440/7Healthy pregnant women under routine pregnancy follow-up at the obstetrics clinics; 47Females 100.0%Group A 27; Group B 25.14; Control group 29.74WBC, MPV, NLR, PLRAcute focal appendicitis, acute suppurated appendicitis, acute perforated appendicitis, and acute gangrenous appendicitis
Nazik S2017Turkey6330Healthy control subjects; 33Males 65.08%; Females 34.92%9.34ESR,CRP, WBC, MPV, NLR, PLR, Ischemia-modified albuminAcute appendicitis and perforated appendicitis
Kahramanca Ş2017Turkey569475Negative appendectomy; 94Males 55.94%; Females 44.05%40PLRAcute appendicitis
Mehmet Ü2017Turkey569455Patients with a normal appendix having other complaints in ED excluding abdominal pain; 114Males 55.36%; Females 44.64%31.97WBC, PLT, Neutrophil, Lymphocyte, NLR, PLR, PDWAcute appendicitis
Toktas O2017Turkey6030Healthy control subjects; 30Males 71.67%; Females 28.33%28.5Platelet, MPV, RDW, Neutrophil, Lymphocyte, NLR, PLR, LeukocyteAcute appendicitis
Shin DH2017Korea650615Negative appendectomy; 35Males 51.2%; female 48.8%33WBC, NLR, LMR, PLR, DNI, CRPNon-complicated appendicitis, complicated appendicitis
Ulukent SC2016Turkey19197Healthy control subjects in outpatient clinics; 94Appendicitis: males 59.8%; Females 40.2%;Control: Males 63.8%; Females 36.2%Appendicitis 39; Control 34Leukocyte count, neutrophil percentage, NLR, PLR, MPV, RDW, PDW and CRPAcute appendicitis
Acar E2016Turkey476215/200Patients without any complaints at the outpatient clinics; 61Male 53.5%; female 46.5%31.6WBC, RDW, MPV, neutrophil, lymphocyte, NLR and PLR.Acute appendicitis
Yazar FM2015Turkey12228/35Healthy pregnant control; 29/30Females 100.0%Appendectomy group 26.93; Healthy pregnant control group 29.62WBC, CRP, NLR, PLRAcute appendicitis
Abbreviations: CRP: C-reactive protein; DNI: Delta neutrophil index; ED, emergency department; ESR: Erythrocyte sedimentation rate; MPV: Mean platelet volume; NLR: Neutrophil to lymphocyte ratio; PDW: Platelet distribution width; PLT: Platelet; PLR: Platelet to lymphocyte ratio; RDW: Red cell distribution of width; WBC: White blood cell.

The association between PLR level and AA

Eleven case-control studies involving 3006 cases and 698 controls examined the association between PLR level and AA. Meta-analysis found that PLR levels were significantly higher in patients with AA (SMD: 1.19, 95% CI: 0.75 to 1.62, P<0.001) than that of the controls, with high inter-study heterogeneity (I2 = 95.2%) (Fig 2).

Forest plot showing the relationship between platelet to lymphocyte ratio and acute appendicitis.
Fig 2
Forest plot showing the relationship between platelet to lymphocyte ratio and acute appendicitis.

Subgroup analysis and sensitivity analysis

We conducted several preplanned subgroup analyses and sensitivity analyses by several variables. Analyses stratified by study sample size revealed that PLR level was significantly related to AA for studies with both small sample size (<500) (SMD: 1.15; 95% CI: 0.22 to 2.08; P  = 0.015) and large sample size (≥500) (SMD: 1.21; 95% CI: 0.76 to 1.67; P <0.001). When we stratified studies by study region, a statistically significant relationship was noted for studies conducted in Europe (SMD: 1.12; 95% CI: 0.66 to 1.57; P <0.001) and in Asia (SMD: 1.90; 95% CI: 1.54 to 2.25; P = 0.003). The associations were also significant in studies with both adult patient age ≥30 years (SMD: 1.46; 95% CI: 0.89 to 2.02; P  = 0.004), adult patient age <30 years (SMD: 0.58; 95% CI: 0.12 to 1.04; P  = 0.472) and children. Sensitivity analyses revealed significant associations when involving only non-perforated AA (SMD: 1.23; 95% CI: 0.88 to 1.59; P<0.001) or AA during pregnancy (SMD: 0.70; 95% CI: 0.36 to 1.04; P = 0.037), but not perforated AA (SMD: 2.28; 95% CI: -1.72 to 6.28; P = 0.263). The PLR level was not found significantly different among complicated AA compared to that in non-complicated AA. According to the analysis by study quality, a higher PLR level was found in studies with both high quality (NOS score≥7) (SMD: 0.95; 95% CI: 0.57 to 1.32; P <0.001) and moderate or low quality (SMD: 1.84; 95% CI: 0.56 to 3.11; P  = 0.005). Based on the analyses by control subjects, significant associations were found among healthy control subjects (SMD: 0.77; 95% CI: 0.46 to 1.07; P <0.001) and control subjects with negative appendectomy (SMD: 1.40; 95% CI: 1.05 to 1.74; P <0.001). The detailed results of subgroup analyses for associations between PLR levels and AA are presented in Table 2.

Table 2
Subgroup analyses results for association between serum levels of platelet to lymphocyte ratio and acute appendicitis.
VariableSMD95%CIDegree heterogeneity (I2 statistics; %)P valueNo. of included StudiesP for interaction
Total1.190.75 to 1.6295.2<0.00111NA
Sample size0.149
<5001.150.22 to 2.0896.40.0156
≥5001.210.76 to 1.6794.0<0.0015
Study region<0.001
Europe1.120.66 to 1.5795.2<0.00110
Asia1.901.54 to 2.25-0.0031
Age (Mean/median)0.001
Adult <30 years0.580.12 to 1.0461.70.4723
Adult ≥30 years1.460.89 to 2.0296.80.0047
Children1.030.51 to 1.56--1
Appendicitis type<0.001
Perforated AA2.28-1.72 to 6.2898.90.2632
Non-perforated AA1.230.88 to 1.5975.6<0.0012
AA during pregnancy0.700.36 to 1.0477.10.0372
Study quality<0.001
NOS score≥70.950.57 to 1.3290.3<0.0018
NOS score <71.840.56 to 3.1198.00.0053
Control subject<0.001
Healthy subjects0.770.46 to 1.0777.1<0.0013
Negative appendectomy1.401.05 to 1.7485.2<0.0014
Healthy pregnant women0.66-0.06 to 1.3733.30.0742
Non-AA outpatients or ED patients1.90-0.91 to 4.7199.40.1852
Abbreviations: AA, acute appendicitis; CI, confidence interval; ED, emergency department; NA, not available; SMD, standardized mean difference.

A funnel plot was generated to investigate the potential publication bias of the 11 included studies. Both Egger’s (P = 0.573) and Begg’s (P = 1.000) indicated that no significant publication bias existed in these studies (Fig 3). In addition, no filled studies were input when trim and fill method was applied, yielding the same adjusted summary SMD with the original analysis, further indicating the robustness of the finding. The “leave-one-out” sensitivity analyses by omitting one study at each time and examining the influence of each individual study also confirmed that the results were stable (Fig 4).

A funnel plot analysis of publication bias for association between platelet to lymphocyte ratio and acute appendicitis.
Fig 3
A funnel plot analysis of publication bias for association between platelet to lymphocyte ratio and acute appendicitis.
Sensitivity analysis of effect for association between platelet to lymphocyte ratio and acute appendicitis.
Fig 4
Sensitivity analysis of effect for association between platelet to lymphocyte ratio and acute appendicitis.


Principal findings

To the best of our knowledge, this meta-analysis is the first attempt to demonstrate the association between the PLR level and AA. A comprehensive literature search of all observational studies assessing this relationship was performed. The findings indicate that the PLR level is significantly higher in AA individuals compared to the non-AA ones which is in line with previous reports [40, 42, 43]. Moreover, though the results of most subgroups are consistent with the main analysis, findings did not suggest that the PLR levels was significantly correlated with perforated AA, probably because of low statistical power with few included studies. Therefore, further well-designed prospective studies should be advocated to further confirm these relationships.

Potential mechanisms

Numerous reports have revealed that systemic inflammatory response can induce neutrophilia and lymphocytopenia [47, 48], leading to an increase in some inflammatory indices such as PLR and neutrophil to lymphocyte ratio (NLR), some of the inflammatory biomarkers in AA [4956]. Smith found that some processes of inflammatory response were influenced by the changes in platelet markers [57]. It has been shown that cytokines such as interleukin (IL)-1 and IL-6 may affect the change of mean platelet volume (MPV), which is regarded as a marker of platelet activation inflammation [58, 59]. Studies also found that platelets can serve as key coordinators involved in several inflammatory processes [60, 61] and in the occurrence and development of several inflammatory diseases including inflammatory bowel disease, solid cancers, psoriasis multiple sclerosis and bronchial asthma [6264]. However, few studies and meta-analyses have demonstrated the association between PLR and AA.

Clinical relevance and implications

This study has important clinical relevance and implications. As a promising diagnostic biomarker, PLR has great potential to help in the diagnosis and decision-making of suspected appendicitis in selected populations and conditions. We found that the diagnostic implication of PLR may play an important role for participants whose age ≥30 years, pregnant women, and AA without progression to perforation. For areas with limited medical resources, due to the limited access to CT or MRI scan at the emergency department, PLR can be used as an effective rapid alternative to auxiliary diagnosis. Our study shows that PLR levels in pregnant women with appendicitis are significantly higher than those without appendicitis, which indicates that the measurement of PLR level provides an important, safe, rapid and radiation-free auxiliary diagnosis method for pregnant women suspected of appendicitis. PLR also has potential value in differentiating perforated appendicitis from nonperforated appendicitis, although large prospective studies are needed further confirmation.

The PLR, like many blood inflammatory indicators, are commonly used, non-invasive and cost-effective blood biomarkers, which can be easily available in the emergency department, even in small hospitals. However, the value of the PLR in AA has only been examined in few studies. A study conducted by Celik et al. [65] showed that the cutoff value of 284 for PLR with a sensitivity of 42% and a specificity of 86% was found to be the best predictive value for the diagnosis of complicated AA. Another study by Mehmet et al. [42] revealed that a higher PLR level was detected in patients with perforated appendicitis than that in normal controls. Pehlivanli et al. [27] assessed 558 patients who underwent appendectomy and found that the PLR appeared to be significantly valuable in the differentiation of normal appendix from AA and in the differentiation of AA from perforated appendicitis.

In this study, the reasons to select SMD as the statistical parameter for this kind of meta-analysis were explained as follows. First, the current literature search did not yield sufficient eligible studies for diagnostic meta-analysis combining the sensitivity and sensitivity of PLR as effect estimates. Instead, 11 studies could be identified providing means and SDs of PLR levels for both AA patients and controls, which could be used as an alternative effect estimate to conduct a meta-analysis. Thus, SMD is a suitable substitute as a statistical parameter to demonstrate the associations between PLR levels (a continuous measure outcome) and AA. Second, a research article published in 2019 [66] has demonstrated that SMD is a commonly used effect estimate to measure continuous outcomes using different scales or units (e.g., blood inflammatory biomarkers with different units). These effect estimates should be standardized before pooling in a meta-analysis. One of the frequently used methods of standardization includes the use of SMD. In our meta-analysis, we also used SMD because units of PLR level in the included studies were different. Finally, the result of our study can be well interpreted. We found that the level of PLR in the AA group was significantly higher than that in the control group by 1.19 standard deviations of PLA levels (SMD: 1.19, 95% CI: 0.75 to 1.62, P<0.001), which indicates that PLR is a promising blood biomarker that can potentially predict AA in patients with clinical suspicion of appendicitis.

Considerable inter-study heterogeneity was detected in our meta-analysis, though we conducted several subgroup analyses. The results of subgroup analyses for relationship between the PLR level and AA indicated that the heterogeneity could partly attribute to variables regarding differences in patient age, appendicitis type and control subjects. However, these variables could not account for all of the heterogeneity. Perhaps further larger well-designed prospective cohort studies or clinical trials are warranted in the future to better demonstrate the relationship between the PLR level and AA.

Strengths and limitations

The present meta-analysis has several advantages. Firstly, this is the first meta-analysis of the relationship between PLR level and AA. From the pooled analysis, we found that patients with AA had significant higher PLR level than the non-AA controls. Moreover, multiple analyses including the “leave-one-out” sensitivity analysis, trim and fill method and subgroup analyses confirmed this association was stable. In addition, the results of subgroup analyses were mostly consistent with those of the main analysis, which also indicated our findings were convincing. Secondly, random-effects model, a more conservative approach, was used when we pooled effect estimates, making the results of our meta-analysis more accurate. Thirdly, publication date and language limits were not restricted for literature search, making the results less possible to leading to publication bias.

This meta-analysis should still be interpreted with caution due to the limitations in several aspects. First, despite that all studies used blood sample analyzer to evaluate PLR levels, the sample collection time and reference values were varied, which can lead to heterogeneous results. Second, besides the lack of diagnostic accuracy studies, the results of this meta-analysis were mainly based on observational studies, mostly case-control studies, which is a limitation of critical importance for demonstrating a causal relationship between PLR level and AA. However, observational study results may also provide significant preliminary data to justify further larger trials and well-designed prospective cohort studies. Third, there seem to be patients mostly from one continent of Europe. The variations on the ethnicity of the population are still under investigation. Because limited number of studies is involved, multi-ethnic cohort studies are warranted to confirm our findings. Fourth, it is known that systemic inflammatory response might induce an increase in blood PLR. It is quite obvious that AA can also lead to the PLR increase. Diagnosis of AA can be challenging due to the fact that a variety of acute gastrointestinal and gynaecologic diseases can mimic the symptoms of AA. Therefore, more high quality evidence should be accumulated before definite conclusions could be drawn. Last but not least, as we extracted estimates using indirect methods in 5 studies, this method might have led to overestimation or underestimation of the sample of SD and thereby causing inaccuracy of the effect estimates.

In conclusion, this meta-analysis shows a significant increase in PLR level in patients with AA, indicating that PLR is a promising biomarker for AA. PLR provides a convenient option for emergency department to quickly screen for clinically or radiologically confirmed AA awaiting appendectomy, especially for pregnant women suspected of having AA. For areas with limited medical resources, due to the limited access to CT or MRI scans in emergency department, PLR can be used as an effective and rapid alternative to auxiliary diagnosis. However, more high-quality evidence is needed to further confirm the diagnostic accuracy of PLR for AA, and whether PLR combined with other blood biomarkers will yield better predictive value needs to be further studied.


We sincerely thank all authors who provided published data for our meta-analysis.



    NSR Collaborative. . Multicentre observational study of performance variation in provision and outcome of emergency appendicectomy. British Journal of Surgery2013;100(9):, pp.1240–52, doi: 10.1002/bjs.9201


    M Tsuji, P Puri, D Reen. . Characterisation of the local inflammatory response in appendicitis. Journal of pediatric gastroenterology and nutrition1993;16(1):, pp.43–48, doi: 10.1097/00005176-199301000-00008


    L Allister, R Bachur, J Glickman, et al. Serum Markers in Acute Appendicitis. Journal of Surgical Research2011;168(1):, pp.70–75 [published Online First: Epub Date]|. , doi: 10.1016/j.jss.2009.10.029


    R Andersson, A Hugander, A Thulin. . Diagnostic accuracy and perforation rate in appendicitis: association with age and sex of the patient and with appendicectomy rate. The European journal of surgery = Acta chirurgica1992;158(1):, pp.37–41


    R Marudanayagam, GT Williams, BI Rees. . Review of the pathological results of 2660 appendicectomy specimens. Journal of gastroenterology2006;41(8):, pp.745–49, doi: 10.1007/s00535-006-1855-5


    A van Randen, S Bipat, AH Zwinderman, et al. Acute appendicitis: meta-analysis of diagnostic performance of CT and graded compression US related to prevalence of disease. Radiology2008;249(1):, pp.97–106, doi: 10.1148/radiol.2483071652


    G Shen, J Wang, F Fei, et al. Bedside ultrasonography for acute appendicitis: An updated diagnostic meta-analysis. International Journal of Surgery2019;70:, pp.1–9, doi: 10.1016/j.ijsu.2019.08.009


    MD Repplinger, PJ Pickhardt, JB Robbins, et al. Prospective comparison of the diagnostic accuracy of MR imaging versus CT for acute appendicitis. Radiology2018;288(2):, pp.467–75, doi: 10.1148/radiol.2018171838


    S Kinner, PJ Pickhardt, EL Riedesel, et al. Diagnostic accuracy of MRI versus CT for the evaluation of acute appendicitis in children and young adults. American Journal of Roentgenology2017;209(4):, pp.911–19, doi: 10.2214/AJR.16.17413


    E Duke, B Kalb, H Arif-Tiwari, et al. A systematic review and meta-analysis of diagnostic performance of MRI for evaluation of acute appendicitis. American Journal of Roentgenology2016;206(3):, pp.508–17, doi: 10.2214/AJR.15.14544


    M Zouari, M Jallouli, H Louati, et al. Predictive value of C-reactive protein, ultrasound and Alvarado score in acute appendicitis: a prospective pediatric cohort. The American journal of emergency medicine2016;34(2):, pp.189–92, doi: 10.1016/j.ajem.2015.10.004


    A Zani, WJ Teague, SA Clarke, et al. Can common serum biomarkers predict complicated appendicitis in children?Pediatric surgery international2017;33(7):, pp.799–805, doi: 10.1007/s00383-017-4088-1


    D Saxena, M Tandon, B Gedam. . Role of mean platelet volume (MPV) in diagnosis of acute appendicitis. Int J Biomed Res2015;6(4):, pp.235–7


    MA Msolli, K Beltaief, W Bouida, et al. Value of early change of serum C reactive protein combined to modified Alvarado score in the diagnosis of acute appendicitis. BMC emergency medicine2018;18(1):, pp.15, doi: 10.1186/s12873-018-0166-5


    S Monsalve, A Ellwanger, S Montedonico. . White blood cell count and C-reactive protein together remain useful for diagnosis and staging of acute appendicitis in children. South African Medical Journal2017;107(9):, pp.773–76, doi: 10.7196/SAMJ.2017.v107i9.12206


    H Erdem, R Aktimur, S Cetinkunar, et al. Evaluation of mean platelet volume as a diagnostic biomarker in acute appendicitis. International journal of clinical and experimental medicine2015;8(1):, pp.1291


    B Dinc, A Oskay, SE Dinc, et al. New parameter in diagnosis of acute appendicitis: platelet distribution width. World Journal of Gastroenterology: WJG2015;21(6):, pp.1821, doi: 10.3748/wjg.v21.i6.1821


    NH Dayawansa, JD Segan, HH Yao, et al. Incidence of normal white cell count and C‐reactive protein in adults with acute appendicitis. ANZ journal of surgery2018;88(6):, pp.E539–E43, doi: 10.1111/ans.13760


    G Bozlu, H Taskinlar, S Unal, et al. Diagnostic value of red blood cell distribution width in pediatric acute appendicitis. Pediatrics International2016;58(3):, pp.202–05, doi: 10.1111/ped.12805


    S Raungkaewmanee, S Tangjitgamol, S Manusirivithaya, et al. Platelet to lymphocyte ratio as a prognostic factor for epithelial ovarian cancer. Journal of gynecologic oncology2012;23(4):, pp.265–73, doi: 10.3802/jgo.2012.23.4.265


    T Gary, M Pichler, K Belaj, et al. Platelet-to-lymphocyte ratio: a novel marker for critical limb ischemia in peripheral arterial occlusive disease patients. PloS one2013;8(7):, pp.e67688, doi: 10.1371/journal.pone.0067688


    K Turkmen, FM Erdur, F Ozcicek, et al. Platelet‐to‐lymphocyte ratio better predicts inflammation than neutrophil‐to‐lymphocyte ratio in end‐stage renal disease patients. Hemodialysis International2013;17(3):, pp.391–96, doi: 10.1111/hdi.12040


    S Balta, C Ozturk. . The platelet-lymphocyte ratio: a simple, inexpensive and rapid prognostic marker for cardiovascular events. Platelets2015;26(7):, pp.680–81, doi: 10.3109/09537104.2014.979340


    H Fu, B Qin, Z Hu, et al. Neutrophil-and platelet-to-lymphocyte ratios are correlated with disease activity in rheumatoid arthritis. Clin Lab2015;61(3–4):, pp.269–73, doi: 10.7754/clin.lab.2014.140927


    AU Uslu, A Küçük, A Şahin, et al. Two new inflammatory markers associated with Disease Activity Score‐28 in patients with rheumatoid arthritis: neutrophil‐lymphocyte ratio and platelet‐lymphocyte ratio. International journal of rheumatic diseases2015;18(7):, pp.731–35, doi: 10.1111/1756-185X.12582


    DH Shin, YS Cho, GC Cho, et al. Delta neutrophil index as an early predictor of acute appendicitis and acute complicated appendicitis in adults. World Journal of Emergency Surgery2017;12(1):, pp.32


    F Pehlivanli, O Aydin. . Role of Platelet to Lymphocyte Ratio as a Biomedical Marker for the Pre-Operative Diagnosis of Acute Appendicitis. Surgical infections2019, doi: 10.1089/sur.2019.042 [published Online First: Epub Date]|.


    S Nazik, V Avci, Z Kusku Kiraz. . Ischemia-modified albumin and other inflammatory markers in the diagnosis of appendicitis in children. Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery: TJTES2017;23(4):, pp.317–21, doi: 10.5505/tjtes.2016.11823 [published Online First: Epub Date]|.


    AA Tuncer, S Cavus, A Balcioglu, et al. Can mean platelet volume, Neutrophil-to-Lymphocyte, Lymphocyte-to-Monocyte, Platelet-to-Lymphocyte ratios be favourable predictors for the differential diagnosis of appendicitis?JOURNAL OF THE PAKISTAN MEDICAL ASSOCIATION2019;69(5):, pp.647–53


    D Moher, A Liberati, J Tetzlaff, et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Annals of internal medicine2009;151(4):, pp.264–69, doi: 10.7326/0003-4819-151-4-200908180-00135


    X Wan, W Wang, J Liu, et al. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC medical research methodology2014;14(1):, pp.135


    SP Hozo, B Djulbegovic, I Hozo. . Estimating the mean and variance from the median, range, and the size of a sample. BMC medical research methodology2005;5(1):, pp.13


    A. Stang. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. European journal of epidemiology2010;25(9):, pp.603–05, doi: 10.1007/s10654-010-9491-z


    Z Montazeri, C Nyiraneza, H El-Katerji, et al. Waterpipe smoking and cancer: systematic review and meta-analysis. Tobacco control2017;26(1):, pp.92–97, doi: 10.1136/tobaccocontrol-2015-052758


    R DerSimonian, N Laird. . Meta-analysis in clinical trials. Controlled clinical trials1986;7(3):, pp.177–88, doi: 10.1016/0197-2456(86)90046-2


    JP Higgins, SG Thompson, JJ Deeks, et al. Measuring inconsistency in meta-analyses. BMJ (Clinical research ed)2003;327(7414):, pp.557–60


    M Egger, GD Smith, M Schneider, et al. Bias in meta-analysis detected by a simple, graphical test. BMJ (Clinical research ed)1997;315(7109):, pp.629–34


    S Duval, R Tweedie. . Trim and fill: a simple funnel‐plot–based method of testing and adjusting for publication bias in meta‐analysis. Biometrics2000;56(2):, pp.455–63, doi: 10.1111/j.0006-341x.2000.00455.x


    E Acar, O Ozcan, H Deliktas, et al. Laboratory markers has many valuable parameters in the discrimination between acute appendicitis and renal colic. Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery: TJTES2016;22(1):, pp.17–22, doi: 10.5505/tjtes.2015.69488 [published Online First: Epub Date]|.


    H Cinar, A Aygun, M Derebey, et al. Significance of hemogram on diagnosis of acute appendicitis during pregnancy.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery: TJTES2018;24(5):, pp.423–28, doi: 10.5505/tjtes.2018.62753 [published Online First: Epub Date]|.


    Ş Kahramanca, G Özgehan, O Kaya, et al. Platelet to Lymphocyte Ratio and Acute Appendicitis. Kafkas Tıp Bilimleri Dergisi2017;7(2):, pp.153–57


    Ü Mehmet, K Ertuğrul, O Murat, et al. The role of neutrophils/lymphocyte ratio, platelet/lymphocyte ratio and platelet distribution width values in acute appendicitis diseases. Biomedical Research2017;28(17):, pp.7514–18


    O Toktas, M Aslan. . Mean platelet volume, red cell distribution width, neutrophil to lymphocyte ratio and platelet to lymphocyte ratio in the diagnosis of acute appendicitis. Eastern Journal Of Medicine2017;22(1):, pp.5


    SC Ulukent, IS Sarici, KT Ulutas. . All CBC parameters in diagnosis of acute appendicitis. International journal of clinical and experimental medicine2016;9(6):, pp.11871–76


    FM Yazar, M Bakacak, A Emre, et al. Predictive role of neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios for diagnosis of acute appendicitis during pregnancy. The Kaohsiung journal of medical sciences2015;31(11):, pp.591–6, doi: 10.1016/j.kjms.2015.10.005 [published Online First: Epub Date]|.


    FM Yazar, A Urfalioglu, M Bakacak, et al. Efficacy of the Evaluation of Inflammatory Markers for the Reduction of Negative Appendectomy Rates. The Indian journal of surgery2018;80(1):, pp.61–67, doi: 10.1007/s12262-016-1558-y [published Online First: Epub Date]|.


    M Ishizuka, T Shimizu, K Kubota. . Neutrophil-to-lymphocyte ratio has a close association with gangrenous appendicitis in patients undergoing appendectomy. International surgery2013;97(4):, pp.299–304


    M Yazici, S Özkisacik, MO Öztan, et al. Neutrophil/lymphocyte ratio in the diagnosis of childhood appendicitis. The Turkish journal of pediatrics2010;52(4):, pp.400


    S Bilici, T Sekmenli, M Goksu, et al. Mean platelet volume in diagnosis of acute appendicitis in children. African health sciences2011;11(3):, pp.427–32


    N Boshnak, M Boshnaq, H Elgohary. . Evaluation of Platelet Indices and Red Cell Distribution Width as New Biomarkers for the Diagnosis of Acute Appendicitis. Journal of investigative surgery: the official journal of the Academy of Surgical Research2018;31(2):, pp.121–29, doi: 10.1080/08941939.2017.1284964 [published Online First: Epub Date]|.


    S Bozkurt, A Kose, S Erdogan, et al. MPV and other inflammatory markers in diagnosing acute appendicitis. JPMA The Journal of the Pakistan Medical Association2015;65(6):, pp.637–41


    G Bozlu, H Taskinlar, S Unal, et al. Diagnostic value of red blood cell distribution width in pediatric acute appendicitis. Pediatrics international: official journal of the Japan Pediatric Society2016;58(3):, pp.202–5, doi: 10.1111/ped.12805 [published Online First: Epub Date]|.


    B Dinc, A Oskay, SE Dinc, et al. New parameter in diagnosis of acute appendicitis: platelet distribution width. World journal of gastroenterology2015;21(6):, pp.1821–6, doi: 10.3748/wjg.v21.i6.1821 [published Online First: Epub Date]|.


    H Erdem, R Aktimur, S Cetinkunar, et al. Evaluation of mean platelet volume as a diagnostic biomarker in acute appendicitis. International journal of clinical and experimental medicine2015;8(1):, pp.1291–5


    Z Fan, J Pan, Y Zhang, et al. Mean Platelet Volume and Platelet Distribution Width as Markers in the Diagnosis of Acute Gangrenous Appendicitis. Disease markers2015;2015:, pp.542013, doi: 10.1155/2015/542013 [published Online First: Epub Date]|.


    ME Gu Nes, MM Deniz, S Yilmaz. . Diagnostic value of platelet indices in acute appendicitis and comparison with histopathology. Annali italiani di chirurgia2017;88:, pp.222–28


    TL Smith, AS Weyrich. . Platelets as central mediators of systemic inflammatory responses. Thrombosis research2011;127(5):, pp.391–94, doi: 10.1016/j.thromres.2010.10.013


    A Kaser, G Brandacher, W Steurer, et al. Interleukin-6 stimulates thrombopoiesis through thrombopoietin: role in inflammatory thrombocytosis. Blood2001;98(9):, pp.2720–25, doi: 10.1182/blood.v98.9.2720


    A Yuri Gasparyan, L Ayvazyan, D P Mikhailidis, et al. Mean platelet volume: a link between thrombosis and inflammation?Current pharmaceutical design2011;17(1):, pp.47–58, doi: 10.2174/138161211795049804


    P Blair, R Flaumenhaft. . Platelet α-granules: basic biology and clinical correlates. Blood reviews2009;23(4):, pp.177–89, doi: 10.1016/j.blre.2009.04.001


    D Duerschmied, GL Suidan, M Demers, et al. Platelet serotonin promotes the recruitment of neutrophils to sites of acute inflammation in mice. Blood2013;121(6):, pp.1008–15, doi: 10.1182/blood-2012-06-437392


    T Takeda, H Morita, H Saito, et al. Recent advances in understanding the roles of blood platelets in the pathogenesis of allergic inflammation and bronchial asthma. Allergology International2018;67(3):, pp.326–33, doi: 10.1016/j.alit.2017.11.008


    J Saluk-Bijak, A Dziedzic, M Bijak. . Pro-Thrombotic Activity of Blood Platelets in Multiple Sclerosis. Cells2019;8(2):, pp.110


    MF Salamah, D Ravishankar, X Kodji, et al. The endogenous antimicrobial cathelicidin LL37 induces platelet activation and augments thrombus formation. Blood advances2018;2(21):, pp.2973–85, doi: 10.1182/bloodadvances.2018021758


    B Celik, H Nalcacioglu, M Ozcatal, et al. Role of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in identifying complicated appendicitis in the pediatric emergency department. BMC veterinary research2019;25(3):, pp.222–28, doi: 10.1186/s12917-019-1945-2 10.5505/tjtes.2018.06709 [published Online First: Epub Date]|.


    MH Murad,Z Wang,H Chu, et al. When continuous outcomes are measured using different scales: guide for meta-analysis and interpretation.BMJ, 2019, 364: , pp.k4817, doi: 10.1136/bmj.k4817
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. the platelet to lymphocyte ratio a promising biomarker to distinguish acute appendicitis? Evidence from a systematic review with meta-analysis&author=&keyword=&subject=Research Article,Medicine and Health Sciences,Gastroenterology and Hepatology,Appendicitis,Research and Analysis Methods,Mathematical and Statistical Techniques,Statistical Methods,Metaanalysis,Physical Sciences,Mathematics,Statistics,Statistical Methods,Metaanalysis,Medicine and Health Sciences,Women's Health,Maternal Health,Pregnancy,Medicine and Health Sciences,Women's Health,Obstetrics and Gynecology,Pregnancy,Medicine and Health Sciences,Surgical and Invasive Medical Procedures,Digestive System Procedures,Appendectomy,Biology and Life Sciences,Cell Biology,Cellular Types,Animal Cells,Blood Cells,White Blood Cells,Lymphocytes,Biology and Life Sciences,Cell Biology,Cellular Types,Animal Cells,Immune Cells,White Blood Cells,Lymphocytes,Biology and Life Sciences,Immunology,Immune Cells,White Blood Cells,Lymphocytes,Medicine and Health Sciences,Immunology,Immune Cells,White Blood Cells,Lymphocytes,Biology and Life Sciences,Anatomy,Body Fluids,Blood,Platelets,Medicine and Health Sciences,Anatomy,Body Fluids,Blood,Platelets,Biology and Life Sciences,Physiology,Body Fluids,Blood,Platelets,Medicine and Health Sciences,Physiology,Body Fluids,Blood,Platelets,Biology and Life Sciences,Cell Biology,Cellular Types,Animal Cells,Blood Cells,Platelets,Medicine and Health Sciences,Critical Care and Emergency Medicine,Biology and Life Sciences,Biochemistry,Biomarkers,