Evidence map›Paper›PMID 24675382›Full record

SynthesisBritish journal of cancer2014

Does cancer risk increase with HbA1c, independent of diabetes?

J C de Beer, L Liebenberg

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in British journal of cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 3 pooled it
5.4field-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

56 citing papers in PubMed, 3 syntheses or guidelines pooled it, 126 citations in OpenAlex.

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  19. Young-onset colorectal cancer.Nature reviews. Disease primers · 2023
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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

2 authors at 1 institution in 1 country.

J C de BeerCenter for Research and Continued Engineering Development, North-West University (Pretoria Campus), Suite No. 91, Private Bag X30, Lynnwood Ridge, Pretoria 0040, South Africa.
L Liebenberg1] Center for Research and Continued Engineering Development, North-West University (Pretoria Campus), Suite No. 91, Private Bag X30, Lynnwood Ridge, Pretoria 0040, South Africa [2] TEMM International (Pty) Ltd, Pretoria, South Africa.
North-West University · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe risks for several cancer types are increased in people with diabetes. Hyperglycaemia, hyperinsulinaemia, inflammation and altered hormonal concentrations are common characteristics between the two diseases and can all be linked to hyperglycaemia.

methodsHere, we use glycated haemoglobin (HbA1c) as a biomarker for chronic hyperglycaemia. We explore whether cancer risk increases with HbA1c, independent of diabetes, and, therefore, if risk is already increased below the diabetic HbA1c range, by analysing data from current studies linking HbA1c to risk of several cancer types.

resultsThe data reveal that chronic hyperglycaemia correlates with increased cancer risk for a number of cancers, except prostate cancer. Evidence is also provided that risk is already increased in the pre-diabetic and normal ranges for several cancers.

conclusionsThese results merit urgent investigation into the risks and advantages of updating recommendations for stricter glycaemic control in diabetic and non-diabetic subjects, as this could help reduce the risk of cancer incidence and mortality.

Indexed as

BiomarkersDiabetes MellitusDose-Response Relationship, DrugGlycated HemoglobinHumansHyperglycemiaHypoglycemic AgentsNeoplasmsRisk FactorsSouth AfricaBiomarkersGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic Agents

Identifiers

PMID24675382
PMCPMC4007234
OpenAlexW2030509717

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.