Evidence map›Paper›PMID 16622291›Full record

ReviewEndocrine2006

Hypothalamic regulatory pathways and potential obesity treatment targets.

Erin E Jobst, Pablo J Enriori, Puspha Sinnayah, Michael A Cowley

Abstract readReview
PubMed Publisher
In one paragraph

Review in Endocrine, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

Erin E JobstOregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006, USA. jobste@pacificu.edu
Pablo J Enriori
Puspha Sinnayah
Michael A Cowley
Oregon National Primate Research Center · USOregon Health & Science University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With an ever-growing population of obese people as well as comorbidities associated with obesity, finding effective weight loss strategies is more imperative than ever. One of the challenges in curbing the obesity crisis is designing successful strategies for long-term weight loss and weight-loss maintenance. Currently, weight-loss strategies include promotion of therapeutic lifestyle changes (diet and exercise), pharmacological therapy, and bariatric surgery. This review focuses on several pharmacological targets that activate central nervous system pathways that normally limit food intake and body weight. Though it is likely that no single therapy will prove effective for everyone, this review considers several recent pre-clinical targets, and several compounds that have been in human clinical trials.

Indexed as

Agouti-Related Proteinalpha-MSHAMP-Activated Protein KinasesAnti-Obesity AgentsAppetite RegulationBody WeightCannabinoid Receptor ModulatorsCentral Nervous SystemCiliary Neurotrophic FactorCocaine- and Amphetamine-Regulated Transcript ProteinEnergy MetabolismFructoseHumansHypothalamic HormonesHypothalamusIntercellular Signaling Peptides and ProteinsAgouti-Related Proteinalpha-MSHAMP-Activated Protein KinasesAnti-Obesity AgentsCannabinoid Receptor ModulatorsCiliary Neurotrophic FactorCocaine- and Amphetamine-Regulated Transcript ProteinFructoseHypothalamic HormonesIntercellular Signaling Peptides and Proteinsmelanin-concentrating hormoneMelaninsMultienzyme ComplexesNerve Tissue ProteinsNeuropeptide YPituitary HormonesProteinsProtein Serine-Threonine KinasesReceptors, MelanocortinTopiramate

Identifiers

PMID16622291
OpenAlexW1968333857

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.