Evidence map›Paper›PMID 19001191›Full record

ArticleDiabetes care2009

Leptin predicts diabetes but not cardiovascular disease: results from a large prospective study in an elderly population.

Paul Welsh, Heather M Murray, Brendan M Buckley, Anton J M de Craen, Ian Ford, J Wouter Jukema, Peter W Macfarlane, Chris J Packard, David J Stott, Rudi G J Westendorp and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Diabetes care, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

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  5. Adipokines: masterminds of metabolic inflammation.Nature reviews. Immunology · 2025
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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

12 authors at 2 institutions in 2 countries.

Paul WelshFaculty of Medicine, University of Glasgow, Scotland, UK. p.welsh@clinmed.gla.ac.uk
Heather M Murray
Brendan M Buckley
Anton J M de Craen
Ian Ford
J Wouter Jukema
Peter W Macfarlane
Chris J Packard
David J Stott
Rudi G J Westendorp
James Shepherd
Naveed Sattar
Leiden University · NLCork University Hospital · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo clarify the association of circulating levels of leptin with risk for cardiovascular disease (CVD) events and new-onset diabetes in men and women. RESEARCH DESIGN AND

methodsWe related baseline leptin levels to CVD events (n = 864) and incident diabetes (n = 289) in an elderly population (n = 5,672) over 3.2 years of follow-up.

resultsIn treatment-, age-, and country-adjusted models, leptin was not associated with risk of CVD in men (hazard ratio 1.02 [95% CI 0.90-1.16] per unit log-leptin increase) or women (1.05 [0.91-1.20]) but was associated with risk of diabetes in men (2.75 [2.14-3.52]) and women (1.54 [1.22-1.94]). After adjusting for classic risk factors and BMI, C-reactive protein, and glucose, the diabetes association retained significance in men (1.85 [1.30-2.63]) but not in women (0.89 [0.64-1.26]).

conclusionsLeptin, similar to other markers of adiposity in general, is more strongly related to risk of diabetes than CVD in the elderly.

Indexed as

AgedAged, 80 and overBiomarkersCardiovascular DiseasesDiabetes MellitusFemaleHumansIrelandLeptinMaleMyocardial InfarctionNetherlandsProportional Hazards ModelsProspective StudiesRisk AssessmentRisk FactorsBiomarkersLeptin

Identifiers

PMID19001191
PMCPMC2628699
OpenAlexW2144381653

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.