Evidence map›Paper›PMID 34631525›Full record

SynthesisFrontiers in oncology2021

The Prediction Potential of the Pretreatment Lung Immune Prognostic Index for the Therapeutic Outcomes of Immune Checkpoint Inhibitors in Patients With Solid Cancer: A Systematic Review and Meta-Analysis.

Hui Liu, Xiao-Li Yang, Xiao-Yun Yang, Zhao-Ru Dong, Zhi-Qiang Chen, Jian-Guo Hong, Tao Li

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 17% 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, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Hui LiuDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, China.
Xiao-Li YangDepartment of Nephrology, Jinan Central Hospital, Shandong University, Jinan, China.
Xiao-Yun YangDepartment of Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.
Zhao-Ru DongDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, China.
Zhi-Qiang ChenDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, China.
Jian-Guo HongDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, China.
Tao LiDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, China.
Qilu Hospital of Shandong University · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe lung immune prognostic index (LIPI) is recently developed to predict immune checkpoint inhibitors (ICIs) treatment outcomes for non-small cell lung cancer. However, its predictive value for other types of cancer remained unclear. This meta-analysis aimed to evaluate the association between pretreatment LIPI score and therapeutic outcomes in cancer patients treated with ICIs.

methodsWe searched PubMed, Cochrane Library literature databases and EMBASE for abstracts and full-text articles published from the inception of the database until 16th, Nov 2020. Meta-analyses were performed separately for progression-free survival (PFS) and overall survival (OS) by using the random-effects model.

resultsA total of 12 studies involving 4883 patients receiving ICIs treatment were identified for the primary analysis. The pooled results implied that compared with good LIPI score groups, patients with poor or intermediate LIPI score were significantly associated with worse OS (HR=3.33, 95%CI 2.64-4.21, P < 0.001, I

conclusionsA good LIPI score was significantly correlated with improved OS and PFS in cancer patients receiving ICIs or chemotherapy, regardless of the types of cancer.

Indexed as

chemotherapyimmune checkpoint inhibitorslung immune prognostic indexmeta-analysissolid cancer

Identifiers

PMID34631525
PMCPMC8496897
OpenAlexW3203734323

What OpenQuestion holds

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LicenceCC BY
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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.