Evidence map›Paper›PMID 42109905›Full record

ReviewOpen medicine (Warsaw, Poland)2026

The predictive value of NLR and PLR for TACE prognosis in hepatocellular carcinoma: a systematic review and meta-analysis.

Chuanbao Jing, Zhijun Zhao, Ying Xin, Jiaye Long

Abstract readReview
In one paragraph

Review in Open medicine (Warsaw, Poland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Chuanbao JingDepartment of Urology and Vascular Surgery, Fourth People's Hospital of Hulunbuir City, Hailar, China.
Zhijun ZhaoDepartment of General Surgery, Inner Mongolia Forestry General Hospital, Second Affiliated Hospital of Inner Mongolia University for Nationalities, Yakeshi, China.
Ying XinIntegrated TCM & Western Medicine Department, Fourth People's Hospital of Hulunbuir City, Hailar, China.
Jiaye LongHematology and Intervention Department, Xinhui Hospital Affiliated to Southern Medical University, Xinhui District People's Hospital, Jiangmen, China.ORCID https://orcid.org/0000-0003-2821-4011

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The purpose of this study was to evaluate the predictive value of the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) for outcomes in patients with hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE). Content: We conducted a systematic search on PubMed, Embase, the Cochrane Library, and Web of Science, with a deadline of June 15, 2025. The statistical analysis of this study was conducted using R software (version 4.3.1). This meta-analysis was reported in accordance with the PRISMA guidelines. The research has been registered in PROSPERO (CRD42022361556). Summary: A total of 24 studies, involving 9,257 patients, were included. Our study suggested that elevated NLR values were associated with poorer overall survival (OS) (hazard ratio [HR]=1.73; 95 % confidence interval [CI]: 1.42-2.10) and progression-free survival (PFS) (HR=1.44, 95 % CI: 1.28-1.63) in patients. However, there was no statistically significant difference between the elevated PLR values and patient's OS (HR=1.26, 95 % CI: 0.92-1.73) and PFS (HR=1.86, 95 % CI: 0.45-7.78). Outlook: Our meta-analysis suggested that high NLR before TACE was a predictor of poor OS and PFS prognosis in HCC patients after TACE. However, the prognostic value of PLR was not statistically significant and further prospective studies were needed to validate them.

Indexed as

HCC; TACE; NLRPLR

Identifiers

PMID42109905
PMCPMC13150366

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Registered trials

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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.