Evidence map›Paper›PMID 24911052›Full record

SynthesisPloS one2014

Association between insulin resistance and breast carcinoma: a systematic review and meta-analysis.

Adrian V Hernandez, Mirella Guarnizo, Yony Miranda, Vinay Pasupuleti, Abhishek Deshpande, Socorro Paico, Hosten Lenti, Silvia Ganoza, Laritza Montalvo, Priyaleela Thota and 1 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 8 pooled it
3.1field-weighted citation impact, top 7% 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

39 citing papers in PubMed, 8 syntheses or guidelines pooled it, 84 citations in OpenAlex.

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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

11 authors at 2 institutions in 2 countries.

Adrian V HernandezInstituto Médico de la Mujer/Instituto Médico Metabólico, Lima, Peru; Postgraduate and Medical Schools, Universidad Peruana de Ciencias Aplicadas (UPC), Lima, Peru; Health Outcomes and Clinical Epidemiology Section, Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, United States of America.
Mirella GuarnizoInstituto Médico de la Mujer/Instituto Médico Metabólico, Lima, Peru.
Yony MirandaInstituto Médico de la Mujer/Instituto Médico Metabólico, Lima, Peru.
Vinay PasupuletiDepartment of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America.
Abhishek DeshpandeDepartment of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America; Department of Medicine, Medicine Institute, Cleveland Clinic, Cleveland, Ohio, United States of America.
Socorro PaicoInstituto Médico de la Mujer/Instituto Médico Metabólico, Lima, Peru.
Hosten LentiInstituto Médico de la Mujer/Instituto Médico Metabólico, Lima, Peru.
Silvia GanozaInstituto Médico de la Mujer/Instituto Médico Metabólico, Lima, Peru.
Laritza MontalvoInstituto Médico de la Mujer/Instituto Médico Metabólico, Lima, Peru.
Priyaleela ThotaDepartment of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America.
Herbert LazaroInstituto Médico de la Mujer/Instituto Médico Metabólico, Lima, Peru.
Case Western Reserve University · USCleveland Clinic Lerner College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study was undertaken to evaluate the association between components defining insulin resistance and breast cancer in women. STUDY

designWe conducted a systematic review of four databases (PubMed-Medline, EMBASE, Web of Science, and Scopus) for observational studies evaluating components defining insulin resistance in women with and without breast cancer. A meta-analysis of the association between insulin resistance components and breast cancer was performed using random effects models.

resultsTwenty-two studies (n = 33,405) were selected. Fasting insulin levels were not different between women with and without breast cancer (standardized mean difference, SMD -0.03, 95%CI -0.32 to 0.27; p = 0.9). Similarly, non-fasting/fasting C-peptide levels were not different between the two groups (mean difference, MD 0.07, -0.21 to 0.34; p = 0.6). Using individual odds ratios (ORs) adjusted at least for age, there was no higher risk of breast cancer when upper quartiles were compared with the lowest quartile (Q1) of fasting insulin levels (OR Q2 vs. Q1 0.96, 0.71 to 1.28; OR Q3 vs. Q1 1.22, 0.91 to 1.64; OR Q4 vs. Q1 0.98, 0.70 to 1.38). Likewise, there were no differences for quartiles of non-fasting/fasting C-peptide levels (OR Q2 vs. Q1 1.12, 0.91 to 1.37; OR Q3 vs. Q1 1.20, 0.91 to 1.59; OR Q4 vs. Q1 1.40, 1.03 to 1.92). Homeostatic model assessment (HOMA-IR) levels in breast cancer patients were significantly higher than in people without breast cancer (MD 0.22, 0.13 to 0.31, p<0.00001).

conclusionsHigher levels of fasting insulin or non-fasting/fasting C-peptide are not associated with breast cancer in women. HOMA-IR levels are slightly higher in women with breast cancer.

Indexed as

Insulin ResistanceBreast NeoplasmsC-PeptideFastingFemaleHumansInsulinOdds RatioPublication BiasC-PeptideInsulin

Identifiers

PMID24911052
PMCPMC4049776
OpenAlexW1992536063

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.