Evidence map›Paper›PMID 25064699›Full record

ReviewDrug safety2014

Benefit-risk assessment of orlistat in the treatment of obesity.

Priya Sumithran, Joseph Proietto

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Drug safety, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. The 'Obesity First' approach: Redefining the future of healthcare.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026
    Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Exploring the Role of a Novel Peptide fromInternational journal of molecular sciences · 2020
    Article
  14. Is ionic choline and geranate (CAGE) liquid caging diet-derived fat, limiting its absorption?Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. 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 2 institutions in 1 country.

Priya SumithranDepartment of Medicine (Austin Health), University of Melbourne, Heidelberg Repatriation Hospital, Heidelberg, VIC, 3081, Australia, priyas@unimelb.edu.au.
Joseph Proietto
Austin Health · AUHeidelberg Repatriation Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Orlistat, an inhibitor of intestinal lipase, has been available for the treatment of obesity for nearly two decades. In conjunction with a hypocaloric diet, orlistat treatment results in a placebo-subtracted reduction in body weight of around 3 kg at 1 year, and increases the likelihood of achieving clinically significant (≥5%) weight loss by around 20%. Orlistat-induced weight loss also confers modest improvements in systolic and diastolic blood pressure, low-density lipoprotein (LDL) cholesterol, glycemic parameters, and progression to diabetes in people with impaired glucose tolerance. Overall, it has a good safety profile, and serious adverse events (including reports of severe kidney and liver injury) are rare. However, a high rate of gastrointestinal side effects limits adherence to treatment.

Indexed as

Anti-Obesity AgentsBody WeightGastrointestinal DiseasesHumansLactonesMedication AdherenceObesityOrlistatRisk AssessmentAnti-Obesity AgentsLactonesOrlistat

Identifiers

PMID25064699
OpenAlexW2061129256

What OpenQuestion holds

Textmetadata
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.