Evidence map›Paper›PMID 33669862›Full record

ArticleGenes2021

Deciphering Biochemical and Molecular Signatures Associated with Obesity in Context of Metabolic Health.

Daisy Masih, Jitendra Kumar Tripathi, Gurseen Rakhra, Annu Vats, Saroj Kumar Verma, Prabhash Kumar Jha, Manish Sharma, Mohammad Zahid Ashraf, Som Nath Singh

Open access · goldAbstract read
In one paragraph

Article in Genes, 2021. 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
1.2field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 1 institution in 1 country.

Daisy MasihNutrition Division, Defence Institute of Physiology and Allied Sciences, DRDO, Delhi 110054, India.ORCID 0000-0003-4242-3610
Jitendra Kumar TripathiNutrition Division, Defence Institute of Physiology and Allied Sciences, DRDO, Delhi 110054, India.ORCID 0000-0001-9246-8388
Gurseen RakhraNutrition Division, Defence Institute of Physiology and Allied Sciences, DRDO, Delhi 110054, India.
Annu VatsNutrition Division, Defence Institute of Physiology and Allied Sciences, DRDO, Delhi 110054, India.
Saroj Kumar VermaNutrition Division, Defence Institute of Physiology and Allied Sciences, DRDO, Delhi 110054, India.
Prabhash Kumar JhaGenomics Division, Defence Institute of Physiology and Allied Sciences, DRDO, Delhi 110054, India.
Manish SharmaProteomics Division, Defence Institute of Physiology and Allied Sciences, DRDO, Delhi 110054, India.
Mohammad Zahid AshrafGenomics Division, Defence Institute of Physiology and Allied Sciences, DRDO, Delhi 110054, India.
Som Nath SinghNutrition Division, Defence Institute of Physiology and Allied Sciences, DRDO, Delhi 110054, India.
Defence Institute of Physiology and Allied Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to identify the clinical and genetic markers related to the two uncommon nutritional statuses-metabolically unhealthy normal-weight (MUNW) and metabolically healthy overweight/obese (MHOW) individuals in the physically active individuals. Physically active male volunteers (

Indexed as

Genetic Predisposition to DiseaseAdultBiomarkersBody Mass IndexC-Reactive ProteinFemaleGene Expression RegulationGenetic Association StudiesGlucose-6-PhosphataseHumansInsulin ResistanceInterferon-betaMaleMetabolic SyndromeObesityOverweightBiomarkersC-Reactive ProteinG6PC3 protein, humanGlucose-6-PhosphataseInterferon-betametabolically healthy obesitymetabolically unhealthy normal weightmetabolic syndromeobesityprevalence

Identifiers

PMID33669862
PMCPMC7923210
OpenAlexW3129880951

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.