Evidence map›Paper›PMID 27067911›Full record

ArticleObesity surgery2016

Precision Bariatrics: Toward a New Paradigm of Personalized Devices in Obesity Therapeutics.

Nitin K Ahuja, Ashish Nimgaonkar

Abstract read
PubMed Publisher
In one paragraph

Article in Obesity surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Nitin K AhujaDivision of Gastroenterology and Hepatology, Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Blalock Suite 412, Baltimore, MD, 21287, USA. nahuja4@jhmi.edu.
Ashish NimgaonkarDivision of Gastroenterology and Hepatology, Johns Hopkins University School of Medicine, 1830 E. Monument Street, Suite 424, Baltimore, MD, 21205, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence and complexity of obesity and its associated metabolic complications highlight the importance of building a rigorous investigative framework for the development of novel weight loss therapies. Device-based interventions in particular constitute a market poised for rapid expansion in the coming years. Optimizing outcomes for this new class of therapies requires attention to an evolving taxonomy of subdivisions within the broader obesity phenotype and a means for stratifying patients toward maximally effective interventions. Extant bariatric devices implicitly prioritize anatomic variables as surrogates for physiology, a somewhat arbitrary assumption that merits empiric validation. Utilizing the governing principles of systems biology and recent innovations in clinical trial design, a robust and precise research infrastructure can and should be developed to more effectively mitigate this contemporary epidemic.

Indexed as

Precision MedicineBariatricsHumansObesity, MorbidAdaptive clinical trialsDevicePersonalized medicinePhenotypeSystems biology

Identifiers

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.