Evidence map›Paper›PMID 36415154›Full record

SynthesisJournal of cachexia, sarcopenia and muscle2023

The prognostic value of sarcopenia in oesophageal cancer: A systematic review and meta-analysis.

Pinhao Fang, Jianfeng Zhou, Xin Xiao, Yushang Yang, Siyuan Luan, Zhiwen Liang, Xiaokun Li, Hanlu Zhang, Qixin Shang, Xiaoxi Zeng and 1 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of cachexia, sarcopenia and muscle, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 15 pooled it
11.6field-weighted citation impact, top 1% 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

77 citing papers in PubMed, 15 syntheses or guidelines pooled it, 107 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Pooled it
  13. Pooled it
  14. Pooled it
  15. Pooled it
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

17 more citing papers are in PubMed but not listed here.

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

11 authors at 1 institution in 1 country.

Pinhao FangDepartment of Thoracic Surgery, Med+X Center for Informatics, West China Hospital, Sichuan University, Chengdu, China.
Jianfeng ZhouDepartment of Thoracic Surgery, Med+X Center for Informatics, West China Hospital, Sichuan University, Chengdu, China.
Xin XiaoDepartment of Thoracic Surgery, Med+X Center for Informatics, West China Hospital, Sichuan University, Chengdu, China.
Yushang YangDepartment of Thoracic Surgery, Med+X Center for Informatics, West China Hospital, Sichuan University, Chengdu, China.
Siyuan LuanDepartment of Thoracic Surgery, Med+X Center for Informatics, West China Hospital, Sichuan University, Chengdu, China.
Zhiwen LiangDepartment of Thoracic Surgery, Med+X Center for Informatics, West China Hospital, Sichuan University, Chengdu, China.
Xiaokun LiDepartment of Thoracic Surgery, Med+X Center for Informatics, West China Hospital, Sichuan University, Chengdu, China.
Hanlu ZhangDepartment of Thoracic Surgery, Med+X Center for Informatics, West China Hospital, Sichuan University, Chengdu, China.
Qixin ShangDepartment of Thoracic Surgery, Med+X Center for Informatics, West China Hospital, Sichuan University, Chengdu, China.
Xiaoxi ZengWest China Biomedical Big Data Center, Med+X Center for Informatics, West China Hospital, Sichuan University, Chengdu, China.
Yong YuanDepartment of Thoracic Surgery, Med+X Center for Informatics, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0001-9720-1965
Sichuan University · CN

Funding

1.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University 2018HXFH0201.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University 2020HXFH0471.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University 20HXJS0051.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University ZYJC18010China Postdoctoral Science Foundation 2020M673241National Nature Science Foundation of China 81970481National Nature Science Foundation of China 82000514Sichuan Science and Technology Program 2022YFS0048
6 · The paper itself

Abstract

The loss of skeletal muscle mass and function is defined as sarcopenia, which might develop in elderly patients with cancers. It has been indicated as a potential negative factor in the survival of patients with malignant tumours. The aim of this systematic review and meta-analysis was to evaluate the associations between sarcopenia and survival outcomes or postoperative complications in patients with oesophageal cancer (EC). Web of Science, Embase, Medline, and Cochrane Library databases were searched until 10 May 2022, using keywords: sarcopenia, oesophageal cancer, and prognosis. Studies investigating the prognostic value of sarcopenia on EC survival were included. Forest plots and summary effect models were used to show the result of this meta-analysis. The quality of included studies was evaluated with the Newcastle-Ottawa Scale (NOS). A total of 1436 studies were identified from the initial search of four databases, and 41 studies were included for the final quantitative analysis. This meta-analysis revealed a significant association between sarcopenia and overall survival (OS) [hazard ratios (HR):1.68, 95% confidence interval (CI):1.54-1.83, P = 0.004, I

Indexed as

Esophageal NeoplasmsSarcopeniaAgedHumansPostoperative ComplicationsPrognosisProportional Hazards ModelsMeta-analysisOesophageal cancerPrognosisSarcopeniaSkeletal muscle index

Identifiers

PMID36415154
PMCPMC9891912
OpenAlexW4309840648

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.