Evidence map›Paper›PMID 30121879›Full record

ReviewCurrent diabetes reports2018

Genetics of Severe Obesity.

Una Fairbrother, Elliot Kidd, Tanya Malagamuwa, Andrew Walley

Open access · hybridAbstract readReview
In one paragraph

Review in Current diabetes reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  9. Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
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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

4 authors at 2 institutions in 1 country.

Una FairbrotherSchool of Human Sciences, London Metropolitan University, North Campus, 166-220 Holloway Road, London, N7 8DB, UK.
Elliot KiddSchool of Human Sciences, London Metropolitan University, North Campus, 166-220 Holloway Road, London, N7 8DB, UK.
Tanya MalagamuwaInstitute of Medical and Biomedical Education, St George's University of London, Cranmer Terrace, Tooting, London, SW17 0RE, UK.
Andrew WalleyInstitute of Medical and Biomedical Education, St George's University of London, Cranmer Terrace, Tooting, London, SW17 0RE, UK. awalley@sgul.ac.uk.
London Metropolitan University · GBSt George's, University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis review aims to present current information on genes underlying severe obesity, with the main emphasis on the three genes LEP, LEPR and MC4R. RECENT

findingsThere is a substantial amount of evidence that variants in at least ten different genes are the cause of severe monogenic obesity. The majority of these are involved in the leptin-melanocortin signalling pathway. Due to the frequency of some of the identified variants, it is clear that monogenic variants also make a significant contribution to common obesity. The artificial distinction between rare monogenic obesity and common polygenic obesity is now obsolete with the identification of MC4R variants of strong effect in the general population.

Indexed as

Genetic Predisposition to DiseaseBody Mass IndexHumansLeptinObesityReceptor, Melanocortin, Type 4Receptors, LeptinLeptinReceptor, Melanocortin, Type 4Receptors, LeptinBMIGWASLeptinMelanocortin-4 receptorObesity

Identifiers

PMID30121879
PMCPMC6105241
OpenAlexW2885270819

What Socratic 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 Socratic graph.