Evidence map›Paper›PMID 30946368›Full record

SynthesisMedicine2019

Diagnostic accuracy of red blood cell distribution width to platelet ratio for predicting staging liver fibrosis in chronic liver disease patients: A systematic review and meta-analysis.

Ying Cai, Dina Liu, Jing Cui, Yu Sha, Hengyu Zhou, Ni Tang, Na Wang, Ailong Huang, Jie Xia

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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  6. La Tunisie medicale · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Ying CaiKey Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University.
Dina LiuKey Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University.
Jing CuiKey Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University.
Yu ShaKey Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University.
Hengyu ZhouKey Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University.
Ni TangKey Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University.
Na WangKey Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University.
Ailong HuangKey Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University.
Jie XiaKey Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University.
MRC Laboratory of Molecular Biology · GBChongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRed cell volume distribution width to platelet ratio (RPR), as a novel noninvasive assessment, is frequently investigated. However, the utility of RPR to evaluate the diagnostic accuracy of liver fibrosis remains controversial. We performed a meta-analysis to determine the diagnostic performance of RPR for detecting staging liver fibrosis in patients with chronic liver disease.

methodsMEDLINE, EMBASE, and Cochrane Library databases were systematically searched. Summary receiver operating characteristic curves (SROC), diagnostic odds ratios (DOR), pooled estimates of sensitivity, specificity, and likelihood ratios were used to assess the diagnostic accuracy of RPR. Meta-regression and subgroup analyses were also performed to identify factors that contributed to heterogeneity. The Quality Assessment for Studies of Diagnostic Accuracy Studies-2 tool was applied to assess the quality.

resultsFifteen studies with a total of 3346 patients were included in the meta-analysis. The area under the curve for SROC to summarize diagnostic accuracy of RPR for prediction of significant fibrosis, advanced fibrosis, and cirrhosis was 0.73 (standard error [SE] = 0.02), 0.83 (SE = 0.03), and 0.85 (SE = 0.04), respectively. Pooled DOR with corresponding 95% confidence interval (CI) was 4.93 (95% CI: 3.78-6.43), 10.27 (95% CI: 6.26-16.84), and 12.16 (95% CI: 5.85-25.28), respectively, using a random effects model. Meta-regression showed that length of liver biopsy specimen potentially contributed to heterogeneity. There was no significant publication bias observed across the eligible studies.

conclusionsIn chronic liver disease patients, RPR presented a good performance for prediction of significant fibrosis, advanced fibrosis, and cirrhosis. More future trials are required for prospective validation.

Indexed as

Erythrocyte IndicesArea Under CurveAspartate AminotransferasesChronic DiseaseDisease ProgressionFemaleHepatitis BHumansLiver CirrhosisMalePlatelet CountPredictive Value of TestsRetrospective StudiesROC CurveSeverity of Illness IndexAspartate Aminotransferases

Identifiers

PMID30946368
PMCPMC6455720
OpenAlexW2932767539

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.