Evidence map›Paper›PMID 39628767›Full record

ReviewCurrent therapeutic research, clinical and experimental2024

Relationship Between Coagulation and Prognosis of Gastric Cancer: A Systematic Review and Meta-Analysis.

Lihui Zhu, Shuo Liu, Da Wang, Miao Yu, Hui Cai

Abstract readReview
In one paragraph

Review in Current therapeutic research, clinical and experimental, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
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.

Lihui ZhuSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Shuo LiuFirst Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Da WangMedical College of Jiangsu University, Zhenjiang, China.
Miao YuNHC Key Laboratory of Diagnosis and Therapy of Gastrointestinal Tumor Gansu Provincial Hospital, Lanzhou, Gansu, China.
Hui CaiSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The hypercoagulable state of cancer patients is associated with their high mortality rate. Coagulation indicators may have an important role in the prognosis of gastric cancer patients and deserve to be explored in various aspects. Objective: We conducted a meta-analysis to explore the correlation between coagulation and prognosis of gastric cancer. Methods: A comprehensive systematic search was conducted in PubMed, Embase, Web of Science databases, and the Cochrane Library up to February 16, 2024. Literature screening and data extraction were performed by two independent reviewers. The processed data we pooled using either a random-effects model or a fixed-effects model and finally described overall survival with a risk ratio (hazard ratio [HR]) and predicted the likelihood of different clinicopathological events with a dominance ratio (OR). Results: A total of 64 studies were screened for inclusion in the data analysis. Performing a meta-analysis of three indicators we derived that the risk of d-dimer (D-D), fibrinogen (FIB), and platelets (PLTs) were: HR = 1.85 (95% confidence interval [CI]: 1.59-2.15, Conclusion: Overall, the findings suggest that the three indicators, D-D, FIB, and PLT count, have significant predictive value for the prognosis of gastric cancer. They were associated with an advanced clinicopathological stage and a high risk of lymph node metastasis.

Indexed as

d-dimerFibrinogenGastric cancerMeta-analysisPlatelet count

Identifiers

PMID39628767
PMCPMC11612816

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.