Evidence map›Paper›PMID 36338660›Full record

ReviewFrontiers in surgery2022

Can the systemic inflammation score be used to predict prognosis in gastric cancer patients undergoing surgery? A systematic review and meta-analysis.

Shuai Liu, Xiaowei Yu, Feifei Ye, Liangxian Jiang

Registry-linked trialAbstract readReview
In one paragraph

Review in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06030804 (Impact of Perioperative Dexmedetomidine on Long-term Survival in Older Patients After Cancer Surgery), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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.

NCT06030804 narecruitingnot on this mapstarted 2023, after this paper: background citation

Impact of Perioperative Dexmedetomidine on Long-term Survival in Older Patients After Cancer Surgery: a Multicenter Randomized Trial

TypeinterventionalSponsorPeking University First HospitalRan2023 to 2028Enrolled4,532ConditionsElderly, Cancer Surgery, Dexmedetomidine, Long-Term SurvivorsArmsDexmedetomidine, Placebo
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

4 authors.

Shuai LiuDepartment of Gastrointestinal Surgery, Taizhou Hospital of Zhejiang Province, Taizhou, China.
Xiaowei YuDepartment of Day Care Ward, Taizhou Hospital of Zhejiang Province, Taizhou, China.
Feifei YeDepartment of Gastrointestinal Surgery, Taizhou Hospital of Zhejiang Province, Taizhou, China.
Liangxian JiangDepartment of Gastrointestinal Surgery, Taizhou Hospital of Zhejiang Province, Taizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inflammatory markers are being increasingly used to predict the prognosis of cancer patients. We hereby conducted the first meta-analysis assessing the association between systemic inflammation score (SIS) and prognosis of gastric cancer patients undergoing surgical intervention. Methods: A literature search was carried out on PubMed, CENTRAL, Scopus, and Embase up to 3rd June 2022 for relevant studies. Adjusted data reported as hazard ratios (HR) was combined in a random-effects model. Results: A total of seven studies with 5,338 patients could be included. All studies were from either China or Japan and published in the last four years. Meta-analysis showed that higher SIS scores (1 or 2) were significant predictors of poor overall survival (OS) in gastric cancer patients (HR: 1.25 95% CI: 1.05, 1.49, Conclusion: The SIS score can be a simple and useful tool to predict OS in gastric cancer patients undergoing surgery. Data on DFS is scarce and conflicting. Future studies should report using standard reference groups and provide data on DFS to enhance current evidence.

Indexed as

gastric cancerinflammationprognosissurgerysurvival

Identifiers

PMID36338660
PMCPMC9633000

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Registered trials

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.