Evidence map›Paper›PMID 38356845›Full record

ReviewPakistan journal of medical sciences

Predicting outcomes of Lung Cancer using the modified glasgow prognostic score: A systematic review and meta-analysis.

Yonghua Min, Xiaofeng Li, Huafei Chen, Yumei Xu, Gang Lan

Abstract readReview
In one paragraph

Review in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

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

  1. Pooled it
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  3. Observational
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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

5 authors.

Yonghua MinYonghua Min, Department of Chest Disease Center, Zhejiang Rongjun Hospital, 309 Shuangyuan Road, Jiaxing, Zhejiang Province 314000, P.R. China.
Xiaofeng LiXiaofeng Li, Department of Chest Disease Center, Zhejiang Rongjun Hospital, 309 Shuangyuan Road, Jiaxing, Zhejiang Province 314000, P.R. China.
Huafei ChenHuafei Chen, Department of Chest Disease Center, Zhejiang Rongjun Hospital, 309 Shuangyuan Road, Jiaxing, Zhejiang Province 314000, P.R. China.
Yumei XuYumei Xu, Department of Chest Disease Center, Zhejiang Rongjun Hospital, 309 Shuangyuan Road, Jiaxing, Zhejiang Province 314000, P.R. China.
Gang LanGang Lan, Department of Chest Disease Center, Zhejiang Rongjun Hospital, 309 Shuangyuan Road, Jiaxing, Zhejiang Province 314000, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Objective: Previous studies have suggested that the modified Glasgow Prognostic Score (mGPS) could be a potential biomarker for lung cancer (LC). However, the association between mGPS and overall survival (OS) or progression-free survival (PFS) in lung cancer patients remains unclear. The purpose of our study was to investigate possible correlation between mGPS and OS or PFS in LC patients. Methods: An extensive search of PubMed, Cochrane Library, EMbase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Trip Database, Worldwide Science, and Google Scholar databases was done for relevant articles, published prior to May 30, 2021, that report correlation between mGPS and OS or PFS in LC patients. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were used as the main parameters for evaluation. Results: A total of 28 studies involving 9,748 lung cancer patients were analysed. The pooled analysis revealed that elevated mGPS (≥ 0) was associated with poor OS (HR=1.54; 95% CI, 1.32-1.77) and PFS (HR=1.49; 95% CI, 1.17-1.82). Furthermore, a significant correlation between mGPS (1 or 2) and OS was observed. However, no significant correlation was found between mGPS (1 or 2) and PFS. Subgroup analysis based on ethnicity demonstrated that mGPS ≥ 0 was associated with worse OS compared to mGPS=0 in both Asian (HR=1.46; 95% CI, 1.04-1.89; p<0.05) and Caucasian (HR=1.64; 95% CI, 1.35-1.94; p<0.05) cohorts of LC patients. Conclusions: Our results demonstrate that positive mGPS is associated with poor survival results. Therefore, mGPS may be used as a biomarker for predicting prognosis in LC patients.

Indexed as

Lung cancerMeta-analysismGPSPrognosisSystematic reviewSystemic inflammation

Identifiers

PMID38356845
PMCPMC10862437

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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.