Evidence map›Paper›PMID 30013437›Full record

ArticleInternational journal of medical sciences2018

RANKL Reduces Body Weight and Food Intake via the Modulation of Hypothalamic NPY/CART Expression.

Ping Zhu, Zhihui Zhang, Xufeng Huang, Shiyu Liang, Neeta Khandekar, Zhiyuan Song, Shu Lin

Open access · goldAbstract read
In one paragraph

Article in International journal of medical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Review
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  5. Review
  6. Crosstalk of Brain and Bone-Clinical Observations and Their Molecular Bases.International journal of molecular sciences · 2020
    Review
  7. Article
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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

7 authors at 4 institutions in 2 countries.

Ping ZhuDepartment of Cardiology, Southwest Hospital, Third Military Medical University (Army Medical University), China.
Zhihui ZhangDepartment of Cardiology, Southwest Hospital, Third Military Medical University (Army Medical University), China.
Xufeng HuangSchool of Medicine, University of Wollongong and Illawarra Health and Medical Research Institute, NSW 2522, Australia.
Shiyu LiangDepartment of Cardiology, Southwest Hospital, Third Military Medical University (Army Medical University), China.
Neeta KhandekarNeurological Diseases Division, Research Program, Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, Sydney, NSW 2010, Australia.
Zhiyuan SongDepartment of Cardiology, Southwest Hospital, Third Military Medical University (Army Medical University), China.
Shu LinDepartment of Cardiology, Southwest Hospital, Third Military Medical University (Army Medical University), China.
Army Medical University · CNSouthwest Hospital · CNGarvan Institute of Medical Research · AUIllawarra Health and Medical Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The receptor activator of nuclear factor

Indexed as

Body WeightEatingAnimalsCocaine- and Amphetamine-Regulated Transcript ProteinHypothalamusMiceNerve Tissue ProteinsNeuropeptide YRANK LigandCocaine- and Amphetamine-Regulated Transcript ProteinNerve Tissue ProteinsNeuropeptide YRANK LigandTnfsf11 protein, mouseCocaine- and amphetamine-regulated transcriptFood intakeHypothalamusNeuropeptide YReceptor activator of NF-κB ligand

Identifiers

PMID30013437
PMCPMC6036154
OpenAlexW2808517914

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.