Evidence map›Paper›PMID 28423026›Full record

SynthesisPloS one2017

The relationship between diabetes and colorectal cancer prognosis: A meta-analysis based on the cohort studies.

Bo Zhu, Xiaomei Wu, Bo Wu, Dan Pei, Lu Zhang, Lixuan Wei

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 7 pooled it
5.5field-weighted citation impact, top 3% 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

73 citing papers in PubMed, 7 syntheses or guidelines pooled it, 136 citations in OpenAlex.

  1. Pooled it
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  4. Diabetes mellitus and colorectal carcinoma outcomes: a meta-analysis.International journal of colorectal disease · 2020
    Pooled it
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  8. Trial
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  10. Article
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  12. Article
  13. Impact of diabetes mellitus in cancer.The Indian journal of medical research · 2026
    Review
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  18. Article
  19. Associations between Diabetes Mellitus and Selected Cancers.International journal of molecular sciences · 2024
    Review
  20. Article

13 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

6 authors at 3 institutions in 1 country.

Bo ZhuDepartment of Cancer Prevention and Treatment, Cancer Hospital of China Medical University/ Liaoning Cancer Hospital & Institute, Dadong District, Shenyang, People's Republic of China.ORCID http://orcid.org/0000-0002-1062-1295
Xiaomei WuDepartment of Clinical Epidemiology and Evidence Medicine, The First Hospital of China Medical University, Heping District, Shenyang, People's Republic of China.
Bo WuDepartment of Anus and Intestine Surgery, The First Hospital of China Medical University, Heping District, Shenyang, People's Republic of China.
Dan PeiDepartment of Occupational health, Liaohe Petrochemical Company of China National Petroleum Corporation, Xinglongtai District, Panjin, People's Republic of China.
Lu ZhangDepartment of Cancer Prevention and Treatment, Cancer Hospital of China Medical University/ Liaoning Cancer Hospital & Institute, Dadong District, Shenyang, People's Republic of China.
Lixuan WeiDepartment of Cancer Prevention and Treatment, Cancer Hospital of China Medical University/ Liaoning Cancer Hospital & Institute, Dadong District, Shenyang, People's Republic of China.
Liaoning Cancer Hospital & Institute · CNFirst Hospital of China Medical University · CNChina National Petroleum Corporation (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThough a meta-analysis reported the effect of diabetes on colorectal prognosis in 2013, a series of large-scale long-term cohort studies has comprehensively reported the outcome effect estimates on the relationship between diabetes and colorectal prognosis, and their results were still consistent.

methodsWe carried out an extensive search strategy in multiple databases and conducted a meta-analysis on the effect of diabetes on colorectal prognosis, based on the included 36 cohort studies, which contained 2,299,012 subjects. In order to collect more data, besides conventional methods, we used the professional software to extract survival data from the Kaplan-Meier curves, and analyzed both the 5-year survival rate and survival risk in overall survival, cancer-specific survival, cardiovascular disease-specific survival, disease-free survival, and recurrence-free survival, to comprehensively reflect the effect of diabetes on colorectal prognosis.

resultsThe results found that compared to patients without diabetes, patients with diabetes will have a 5-year shorter survival in colorectal, colon and rectal cancer, with a 18%, 19% and 16% decreased in overall survival respectively. We also found similar results in cancer-specific survival, cardiovascular disease-specific survival, disease-free survival, and recurrence-free survival, but not all these results were significant. We performed the subgroup analysis and sensitivity analysis to find the source of heterogeneity. Their results were similar to the overall results.

conclusionsOur meta-analysis suggested that diabetes had a negative effect on colorectal cancer in overall survival. More studies are still needed to confirm the relationship between diabetes and colorectal prognosis in cancer-specific survival, cardiovascular disease-specific survival, disease-free survival, and recurrence-free survival.

Indexed as

AgedColorectal NeoplasmsDiabetes ComplicationsDiabetes MellitusFemaleHumansMaleMiddle AgedOdds RatioPrognosisRiskSurvival Analysis

Identifiers

PMID28423026
PMCPMC5397066
OpenAlexW2607271607

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.