Evidence map›Paper›PMID 33194614›Full record

SynthesisFrontiers in oncology2020

Association Between Serum Insulin and C-Peptide Levels and Breast Cancer: An Updated Systematic Review and Meta-Analysis.

Manwen Li, Limin Song, Junhua Yuan, Di Zhang, Caishun Zhang, Yuan Liu, Qian Lin, Haidan Wang, Kaizhen Su, Yanrun Li and 3 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. 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

13 authors.

Manwen LiSpecial Medicine Department, School of Basic Medicine, Qingdao University, Qingdao, China.
Limin SongSpecial Medicine Department, School of Basic Medicine, Qingdao University, Qingdao, China.
Junhua YuanSpecial Medicine Department, School of Basic Medicine, Qingdao University, Qingdao, China.
Di ZhangSpecial Medicine Department, School of Basic Medicine, Qingdao University, Qingdao, China.
Caishun ZhangSpecial Medicine Department, School of Basic Medicine, Qingdao University, Qingdao, China.
Yuan LiuSpecial Medicine Department, School of Basic Medicine, Qingdao University, Qingdao, China.
Qian LinSpecial Medicine Department, School of Basic Medicine, Qingdao University, Qingdao, China.
Haidan WangSpecial Medicine Department, School of Basic Medicine, Qingdao University, Qingdao, China.
Kaizhen SuClinical Medicine Department, Medical College, Qingdao University, Qingdao, China.
Yanrun LiClinical Medicine Department, Medical College, Qingdao University, Qingdao, China.
Zhengye MaClinical Medicine Department, Medical College, Qingdao University, Qingdao, China.
Defeng LiuClinical Medicine Department, Medical College, Qingdao University, Qingdao, China.
Jing DongSpecial Medicine Department, School of Basic Medicine, Qingdao University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies have reported that hyperinsulinemia plays a part in the etiology of breast cancer. However, no consensus has been reached. Therefore, we conducted a meta-analysis to explore the role of insulin and C-peptide in breast cancer.

methodsA systematic search in PubMed, Embase, and The Cochrane Library was conducted up to September, 2020. Standardized mean differences (SMDs) with 95% confidence intervals (CIs) were used to measure effect sizes. Publication bias was assessed using the Egger test. Stability of these results was evaluated using sensitivity analyses.

resultsFourteen articles including 27,084 cases and five articles including 2,513 cases were extracted for serum insulin levels and C-peptide levels. We found that C-peptide levels were positively associated with breast cancer with overall SMD = 0.37 (95% CI = 0.09-0.65, I

conclusionThis meta-analysis demonstrated that C-peptide levels were positively related to breast cancer in women, and no relationship between insulin levels and breast cancer was found.

Indexed as

breast cancerC-peptideinsulinmeta-analysisreview

Identifiers

PMID33194614
PMCPMC7658676

What OpenQuestion holds

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Registered trials

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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.