Evidence map›Paper›PMID 38722378›Full record

ArticleJournal of cancer research and clinical oncology2024

Prognosis of patients with advanced bile tract carcinoma: assessment using the modified-Gustave Roussy Immune Score (mGRIm-s) as a clinico-immunological tool.

Yue Ma, Yuting Pan, Yue Li, Huafang Guan, Guanghai Dai

Erratum issuedAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

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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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yue Ma *Medical School of Chinese PLA, Beijing, 100853, China.
Yuting Pan *Medical School of Chinese PLA, Beijing, 100853, China.
Yue LiDepartment of Medical Oncology, the Fifth Medical Centre, Chinese PLA General Hospital, Beijing, 100039, China.
Huafang GuanYingtan City People's Hospital, Yingtan, 335000, China.
Guanghai DaiMedical School of Chinese PLA, Beijing, 100853, China. daiguanghai@301hospital.com.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emergence of immune checkpoint inhibitors (ICIs) has enhanced survival outcomes for certain patients with advanced biliary tract carcinoma (BTC). Pinpointing those who would benefit most from immunotherapy remains elusive. We investigated the predictive value of the modified Gustave Roussy Immune Score (mGRIm-s) in BTC patients treated with ICIs.

methodsData from 110 patients at Chinese People's Liberation Army General Hospital, spanning September 2015 to April 2021, were analyzed. The median follow-up duration was 38.7 months as of December 2023. Risk factors included low albumin, high lactate dehydrogenase, and an elevated neutrophil-lymphocyte ratio. Patients were stratified into low (patients with no risk factors) and high (patients with at least one risk factor) mGRIm-s groups based on these factors.

resultsSurvival outcomes post-immunotherapy favored the low mGRIm-s group, with significantly improved progression-free survival (PFS) and overall survival (OS) (8.50 months vs. 3.70 months and 21.60 months vs. 8.00 months). COX regression confirmed an elevated risk in the high mGRIm-s group. Subgroup analysis highlighted a notable survival advantage for low mGRIm-s patients receiving first-line immunotherapy.

conclusionsThis study underscores mGRIm-s's potential in predicting immunotherapy response in BTC, paving the way for more targeted approaches.

Indexed as

Biliary Tract NeoplasmsImmune Checkpoint InhibitorsAdultAgedAged, 80 and overFemaleHumansImmunotherapyMaleMiddle AgedPrognosisRetrospective StudiesImmune Checkpoint InhibitorsAdvanced bile tract carcinomaImmunotherapyPrognosisThe modified -Gustave Roussy Immune Score

Identifiers

PMID38722378
PMCPMC11081983

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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.