Evidence map›Paper›PMID 33173757›Full record

ArticleJournal of hepatocellular carcinoma2020

Association of the Pretreatment Lung Immune Prognostic Index with Survival Outcomes in Advanced Hepatocellular Carcinoma Patients Treated with PD-1 Inhibitors.

Shixue Chen, Ziwei Huang, Wangping Jia, Haitao Tao, Sujie Zhang, Junxun Ma, Zhefeng Liu, Jinliang Wang, Lijie Wang, Pengfei Cui and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of hepatocellular carcinoma, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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  11. Metabolic Tumor Volume Measured byJournal of hepatocellular carcinoma · 2023
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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

15 authors at 2 institutions in 1 country.

Shixue Chen *Department of Graduate Administration, Chinese PLA General Hospital, Beijing, People's Republic of China.
Ziwei Huang *Department of Medical Oncology, Chinese PLA General Hospital, Beijing, People's Republic of China.
Wangping Jia *Department of Graduate Administration, Chinese PLA General Hospital, Beijing, People's Republic of China.
Haitao TaoDepartment of Medical Oncology, Chinese PLA General Hospital, Beijing, People's Republic of China.
Sujie ZhangDepartment of Medical Oncology, Chinese PLA General Hospital, Beijing, People's Republic of China.
Junxun MaDepartment of Medical Oncology, Chinese PLA General Hospital, Beijing, People's Republic of China.
Zhefeng LiuDepartment of Medical Oncology, Chinese PLA General Hospital, Beijing, People's Republic of China.
Jinliang WangDepartment of Medical Oncology, Chinese PLA General Hospital, Beijing, People's Republic of China.
Lijie WangDepartment of Medical Oncology, Chinese PLA General Hospital, Beijing, People's Republic of China.
Pengfei CuiDepartment of Graduate Administration, Chinese PLA General Hospital, Beijing, People's Republic of China.
Zhibo ZhangDepartment of Graduate Administration, Chinese PLA General Hospital, Beijing, People's Republic of China.ORCID 0000-0001-8534-7190
Di HuangDepartment of Medical Oncology, Chinese PLA General Hospital, Beijing, People's Republic of China.
Zhaozhen WuDepartment of Medical Oncology, Chinese PLA General Hospital, Beijing, People's Republic of China.
Xuan ZhengDepartment of Graduate Administration, Chinese PLA General Hospital, Beijing, People's Republic of China.
Yi HuDepartment of Medical Oncology, Chinese PLA General Hospital, Beijing, People's Republic of China.
Chinese PLA General Hospital · CNNankai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAt present, there are no validated biomarkers that can predict whether patients with advanced hepatocellular carcinoma (aHCC) are likely to benefit from anti-PD-1 therapy. We aimed to determine whether lung immune prognostic index (LIPI) is associated with outcomes in patients with aHCC treated with PD-1 inhibitors. PATIENTS AND

methodsPatients undergoing initial treatment with PD-1 inhibitors for aHCC at a single center from January 1, 2015 to August 31, 2019 were included. The patients were stratified according to pretreatment LIPI based on a derived neutrophils/(leukocytes minus neutrophils) ratio (dNLR) ≥ 3 and a lactate dehydrogenase (LDH) level ≥ the upper limit of normal (ULN). Kaplan-Meier analysis and the Log rank test were used to calculate and compare survival between good LIPI and intermediate/poor LIPI scores. The prognostic values of LIPI for survival and disease control rate were evaluated using Cox proportional hazard and logistic regression models, respectively.

resultsOf the 108 study patients, 53 (49%) had a good LIPI (dNLR < 3 and LDH normal) and 55 (51%) had intermediate/poor LIPI (dNLR ≥ 3 or/and LDH ≥ ULN). With a median follow-up of 12.4 months, intermediate/poor LIPI was independently associated with shorter overall survival (OS) (hazard ratio [HR] 4.00; 95% CI, 2.00-8.03) and progression-free survival (PFS) (HR 2.65; 95% CI, 1.61-4.37). The median OS for good and intermediate/poor LIPI was not reached and was 13.7 (95% CI, 8.2-19.1) months, respectively, and the median PFS was 10.9 (95% CI, 8.9-12.9) and 4.0 (95% CI, 2.2-5.8) months (both P < 0.001), respectively.

conclusionPretreatment LIPI combined with a dNLR ≥ 3 and/or LDH ≥ ULN is associated with poor outcomes in patients with aHCC treated with PD-1 inhibitors. Further validation in large, prospective studies are warranted.

Indexed as

biomarkerdNLRhepatocellular carcinomaLDHLIPIPD-1 inhibitor

Identifiers

PMID33173757
PMCPMC7646485
OpenAlexW3096157182

What OpenQuestion holds

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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.