Evidence map›Paper›PMID 32076456›Full record

SynthesisDisease markers2020

Tissue Infiltrating Immune Cells as Prognostic Biomarkers in Endometrial Cancer: A Meta-Analysis.

Fang Guo, Yishan Dong, Qingqing Tan, Jing Kong, Bin Yu

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 48 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

5 authors at 1 institution in 1 country.

Fang GuoDepartment of Medical Genetics, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou 213003, China.ORCID https://orcid.org/0000-0001-8482-3845
Yishan DongDepartment of Medical Genetics, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou 213003, China.
Qingqing TanDepartment of Medical Genetics, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou 213003, China.
Jing KongDepartment of Medical Genetics, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou 213003, China.
Bin YuDepartment of Medical Genetics, Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou 213003, China.ORCID https://orcid.org/0000-0001-7796-7314
Nanjing Maternity and Child Health Care Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between tumour-infiltrating immune cells and the prognosis of endometrial cancer (EC) is controversial due to the smaller sample sizes and limited statistical power of the extant studies. We carried out a meta-analysis of the relationship between tumour-infiltrating immune cells and EC survival outcomes.

methodsA literature search in multiple databases was carried out up to December 2019. Pooled hazard ratio (HRs) and 95% confidence intervals (CIs) were calculated by the

resultsSeventeen studies were included in the analysis. The pooled HR of OS, PFS, DSS, and DFS indicated that a high CD8

conclusionThis is the first meta-analysis of the relationship between tumour-infiltrating immune cells and the prognosis of EC. High CD8

Indexed as

Biomarkers, TumorCD8-Positive T-LymphocytesEndometrial NeoplasmsFemaleForkhead Transcription FactorsHumansLeukocyte Common AntigensLymphocytes, Tumor-InfiltratingPrognosisSurvival AnalysisBiomarkers, TumorForkhead Transcription FactorsFOXP3 protein, humanLeukocyte Common AntigensPTPRC protein, human

Identifiers

PMID32076456
PMCPMC7008300
OpenAlexW3003438416

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.