Evidence map›Paper›PMID 27823611›Full record

ReviewEndocrinology and metabolism clinics of North America2016

Bariatric Surgery: Pathophysiology and Outcomes.

Sidra Azim, Sangeeta R Kashyap

Open access · greenAbstract readReview
In one paragraph

Review in Endocrinology and metabolism clinics of North America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Review
  6. The Genetic Blueprint of Obesity: From Pathogenesis to Novel Therapies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
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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.

Sidra AzimDepartment of Endocrinology, Diabetes, and Metabolism, Cleveland Clinic, 9500 Euclid Avenue (F-20), Cleveland, OH 44195, USA.
Sangeeta R KashyapDepartment of Endocrinology, Diabetes, and Metabolism, Cleveland Clinic, 9500 Euclid Avenue (F-20), Cleveland, OH 44195, USA. Electronic address: kashyas@ccf.org.
Cleveland Clinic · US

Funding

Effect of Bariatric Surgery on Mechanisms of Type 2 Diabetes: The B2D TrialR01DK089547 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI KASHYAP, SANGEETA R, KIRWAN, JOHN P. · 2010 to 2013
$1.9M
NIDDK NIH HHS R01 DK089547
6 · The paper itself

Abstract

Diabetes mellitus and obesity are closely interrelated and pose a major burden on health care in terms of morbidity and mortality. Weight loss has favorable metabolic benefits for glycemic control and improvement of metabolic syndrome. Bariatric surgery (BS) is the most effective treatment for weight loss with durable results as compared to lifestyle modification. BS procedures have been associated with significant reduction in abdominal obesity, metabolic syndrome components, and glycemic control requiring fewer medications. Long-term risks of surgery include nutritional deficiencies, osteoporosis, bone fractures, and hyperinsulinemic hypoglycemia, which need to be carefully balanced with metabolic benefits for individual patients.

Indexed as

Bariatric SurgeryWeight LossBlood GlucoseDiabetes MellitusDiabetes Mellitus, Type 2HumansMetabolic SyndromeObesity, AbdominalBlood GlucoseBariatric surgeryMetabolic effectsObesityType 2 diabetesWeight loss

Identifiers

PMID27823611
PMCPMC9075538
OpenAlexW2562091306

What OpenQuestion holds

Textmetadata
LicenceTDM
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.