Evidence map›Paper›PMID 32134010›Full record

ReviewThe Indian journal of medical research2020

Obesity subtypes, related biomarkers & heterogeneity.

Laura Perez-Campos Mayoral, Gabriel Mayoral Andrade, Eduardo Perez-Campos Mayoral, Teresa Hernandez Huerta, Socorro Pina Canseco, Francisco J Rodal Canales, Héctor Alejandro Cabrera-Fuentes, Margarito Martinez Cruz, Alma Dolores Pérez Santiago, Juan José Alpuche and 5 more

Registry-linked trialAbstract readReview
In one paragraph

Review in The Indian journal of medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07180485 (The Effectiveness of Whole Body Vibration Training in Improving Brain Activity, Bone Mineral Density, Quality of Life, and Biomarkers for the Older People With Dynapenic Abdominal Obesity), which is not on this map. Cited by 151 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
151citing papers in PubMed, 5 pooled it
–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.

NCT07180485 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

The Effectiveness of Whole Body Vibration Training in Improving Brain Activity, Bone Mineral Density, Quality of Life, and Biomarkers for the Older People With Dynapenic Abdominal Obesity

TypeinterventionalSponsorDalin Tzu Chi General HospitalRan2025 to 2027Enrolled120ConditionsDynapenia, Abdominal ObesityArmswhole body vibration training, control group
3 · Its place in the literature

Who cites it

151 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Impact of bariatric surgery on gut microbiota in obese patients: A systematic review.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2025
    Pooled it
  4. Pooled it
  5. The Benefits of Physical Activity for People with Obesity, Independent of Weight Loss: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
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91 more citing papers are in PubMed but not listed here.

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

15 authors.

Laura Perez-Campos MayoralResearch Centre-Faculty of Medicine, National Autonomous University of Mexico-Benito Juárez Autonomous University of Oaxaca, Oaxaca, Mexico.
Gabriel Mayoral AndradeResearch Centre-Faculty of Medicine, National Autonomous University of Mexico-Benito Juárez Autonomous University of Oaxaca, Oaxaca, Mexico.
Eduardo Perez-Campos MayoralResearch Centre-Faculty of Medicine, National Autonomous University of Mexico-Benito Juárez Autonomous University of Oaxaca, Oaxaca, Mexico.
Teresa Hernandez HuertaCONACyT-Faculty of Medicine, Benito Juárez Autonomous University of Oaxaca, Oaxaca, Mexico.
Socorro Pina CansecoResearch Centre-Faculty of Medicine, National Autonomous University of Mexico-Benito Juárez Autonomous University of Oaxaca, Oaxaca, Mexico.
Francisco J Rodal CanalesResearch Centre-Faculty of Medicine, National Autonomous University of Mexico-Benito Juárez Autonomous University of Oaxaca, Oaxaca, Mexico.
Héctor Alejandro Cabrera-FuentesCardiovascular and Metabolic Disorders Program, Duke-National University of Singapore, Singapore; Institute of Biochemistry, Medical School, Justus-Liebig University, Giessen, Germany.
Margarito Martinez CruzNational Technological Institute of Mexico, ITOaxaca, Oaxaca, Mexico.
Alma Dolores Pérez SantiagoNational Technological Institute of Mexico, ITOaxaca, Oaxaca, Mexico.
Juan José AlpucheResearch Centre-Faculty of Medicine, National Autonomous University of Mexico-Benito Juárez Autonomous University of Oaxaca, Oaxaca, Mexico.
Edgar ZentenoResearch Centre-Faculty of Medicine, National Autonomous University of Mexico-Benito Juárez Autonomous University of Oaxaca, Oaxaca, Mexico.
Hector Martínez RuízResearch Centre-Faculty of Medicine, National Autonomous University of Mexico-Benito Juárez Autonomous University of Oaxaca, Oaxaca, Mexico.
Ruth Martínez CruzResearch Centre-Faculty of Medicine, National Autonomous University of Mexico-Benito Juárez Autonomous University of Oaxaca, Oaxaca, Mexico.
Julia Hernandez JeronimoResearch Centre-Faculty of Medicine, National Autonomous University of Mexico-Benito Juárez Autonomous University of Oaxaca, Oaxaca, Mexico.
Eduardo Perez-CamposNational Technological Institute of Mexico, ITOaxaca; Clinical Pathology Laboratory 'Dr. Eduardo Pérez Ortega' Oaxaca, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a serious medical condition worldwide, which needs new approaches and recognized international consensus in treating diseases leading to morbidity. The aim of this review was to examine heterogeneous links among the various phenotypes of obesity in adults. Proteins and associated genes in each group were analysed to differentiate between biomarkers. A variety of terms for classification and characterization within this pathology are currently in use; however, there is no clear consensus in terminology. The most significant groups reviewed include metabolically healthy obese, metabolically abnormal obese, metabolically abnormal, normal weight and sarcopenic obese. These phenotypes do not define particular genotypes or epigenetic gene regulation, or proteins related to inflammation. There are many other genes linked to obesity, though the value of screening all of those for diagnosis has low predictive results, as there are no significant biomarkers. It is important to establish a consensus in the terminology used and the characteristics attributed to obesity subtypes. The identification of specific molecular biomarkers is also required for better diagnosis in subtypes of obesity.

Indexed as

BiomarkersAdultGenotypeHumansObesityPhenotypeProteinsBiomarkersProteinsAdipose tissuebiomarkersbody fatgenome-wide association studiesheterogeneityHOMAobesitysubtypes

Identifiers

PMID32134010
PMCPMC7055173

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

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.