Evidence map›Paper›PMID 12621112›Full record

ReviewPediatric research2003

Genetics and the pathophysiology of obesity.

Karine Clément, Pascal Ferré

Registry-linked trialOpen access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric research, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00941382 (Double-blind, Randomized Clinical Trial to Evaluate Effect of Combination Therapy of Metformin and Sibutramine Versus Metformin or Sibutramine Monotherapy Over Weight, Adiposity, Glucose Metabolism and Inflammatory State in Obese Patients), which is not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.6field-weighted citation impact, top 10% 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.

NCT00941382 phase3unknown statusstarted 2008, after this paper: background citation

Double-blind, Randomized Clinical Trial to Evaluate Effect of Combination Therapy of Metformin and Sibutramine Versus Metformin or Sibutramine Monotherapy Over Weight, Adiposity, Glucose Metabolism and Inflammatory State in Obese Patients

Ran2008Enrolled60Registered outcomes3Posted comparisons0ConditionsObesityArmsMetformin, Sibutramine, Sibutramine-Metformin
Open the trial in the graph
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 103 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Anti-Obesity Effects ofMicroorganisms · 2019
    Article
  8. Article
  9. Genetics of Obesity.Indian journal of clinical biochemistry : IJCB · 2016
    Review
  10. Article
  11. Review
  12. Article
  13. Health-related knowledge and preferences in low socio-economic kindergarteners.The international journal of behavioral nutrition and physical activity · 2012
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Obesity in the 21st century.Environmental health perspectives · 2003
    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

2 authors at 1 institution in 1 country.

Karine ClémentINSERM Avenir, EA 3502 Paris 6 University and Service de Nutrition, AP/HP, Hôtel-Dieu, Paris, France.
Pascal Ferré
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a complex disease that involves interactions between environmental and genetic factors. Obesity results from an imbalance between food intake and energy expenditure over several years. The genetic approach both in animal models and in humans has allowed immense progress in the understanding of body weight regulation. Monogenic forms of obesity in humans have been characterized and result from mutations in genes involved in the central pathways of food intake regulation. However, these cases are extremely rare and generally obesity must be considered as a complex polygenic disease involving interactions between multiple genes and the environment. Numerous studies, including studies in children, have tried to identify "susceptibility" genes. At present, the results are not conclusive inasmuch as they are highly variable between studies and because the relative risk associating a specific gene allele and obesity remains low. Thus, it seems highly premature to genotype obese patients on a large scale for predictive testing. When specific pharmacological treatments based on recent discoveries become available, however, genetic testing could help discriminate between the subtypes of obesity that may respond differentially to treatment.

Indexed as

ChildGene ExpressionGenetic Predisposition to DiseaseHumansObesity

Identifiers

PMID12621112
OpenAlexW1967990787

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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.