Evidence map›Paper›PMID 37744539›Full record

ReviewIranian journal of public health2023

Case-Control Trials on Risk Factors for Pancreatic Cancer: A Systematic Review and Meta-Analysis.

Yan Yang, Jianwei Shi, Jiaoling Huang, Mingwang Cheng, Shasha Geng, Wenya Yu, Ning Chen, Chen Chen, Zhaoxin Wang

Abstract readReview
In one paragraph

Review in Iranian journal of public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. Molecular Targets for the Diagnosis and Treatment of Pancreatic Cancer.International journal of molecular sciences · 2024
    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

9 authors.

Yan YangSchool of Economics & Management, Tongji University, Shanghai, China.
Jianwei ShiSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiaoling HuangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mingwang ChengSchool of Economics & Management, Tongji University, Shanghai, China.
Shasha GengGeneral Practice Medicine, Dongfang Hospital of Tongji University, Shanghai, China.
Wenya YuSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ning ChenSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chen ChenShanghai Jing'an District Jiangning Road Community Health Service Centre, Shanghai, China.
Zhaoxin WangDepartment of Dermatology, The Fifth People's Hospital of Hainan Province, Hainan Medical University, Haikou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The single risk factors of pancreatic cancer (PC) has been extensively studied. We aimed to synthesize results from such studies to identify and estimate multiple independent risk factors of PC. Methods: Articles published up to Feb 28, 2020 in English or Chinese reporting risk factors of PC were reviewed. The fixed-effects model with 95% confidence interval (CI) were used to calculate the pooled Odds Ratio (OR). Data were analyzed using RevMan 5.3. Results: PC was significantly associated with smoking ( Conclusion: Smoking, diabetes, family history of PC, and chronic pancreatitis were independent risk factors for PC. These independent risk factors have an important role in identifying high-risk groups, which is of great significance to reduce the incidence of PC and improve the quality of life and prognosis of patients.

Indexed as

Case-control trialsMeta-analysisPancreatic cancerRisk factorSystemic review

Identifiers

PMID37744539
PMCPMC10512132

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.