Evidence map›Paper›PMID 40447890›Full record

ReviewCurrent obesity reports2025

Normal Weight Obesity Overview and Update: A narrative review.

Antonino De Lorenzo, Paola Gualtieri, Giulia Frank, Roselisa Palma, Rossella Cianci, Leonardo Romano, Lucilla Ciancarella, Glauco Raffaelli, Laura Di Renzo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current obesity reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Gut Microbiota-Mediated Mechanisms of Traditional Chinese Medicine in Obesity Management.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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.

Antonino De Lorenzo *Section of Clinical Nutrition and Nutrigenomics, Department of Biomedicine and Prevention, Tor Vergata University of Rome, 00133, Rome, Italy.
Paola Gualtieri *Section of Clinical Nutrition and Nutrigenomics, Department of Biomedicine and Prevention, Tor Vergata University of Rome, 00133, Rome, Italy.
Giulia FrankSchool of Specialization in Food Science, Tor Vergata University of Rome, 00133, Rome, Italy.
Roselisa PalmaSchool of Specialization in Food Science, Tor Vergata University of Rome, 00133, Rome, Italy.
Rossella CianciDepartment of Translational Medicine and Surgery, Catholic University of the Sacred Heart, 00168, Rome, Italy. rossella.cianci@unicatt.it.
Leonardo RomanoSchool of Specialization in Food Science, Tor Vergata University of Rome, 00133, Rome, Italy.
Lucilla CiancarellaSchool of Specialization in Food Science, Tor Vergata University of Rome, 00133, Rome, Italy.
Glauco RaffaelliSchool of Specialization in Food Science, Tor Vergata University of Rome, 00133, Rome, Italy.
Laura Di RenzoSection of Clinical Nutrition and Nutrigenomics, Department of Biomedicine and Prevention, Tor Vergata University of Rome, 00133, Rome, Italy.

Funding

Italian Ministry of Health Project T5-AN-08, n259, 3 February 2023
6 · The paper itself

Abstract

purpose of reviewThis review synthesizes current knowledge on Normal Weight Obesity (NWO), a condition characterized by excess body fat despite having a normal Body Mass Index (BMI). It highlights recent findings on diagnostic methods, pathophysiological mechanisms, and health implications associated with NWO. RECENT

findingsIndividuals with NWO have an increased risk of developing chronic inflammation, cardiometabolic disorders, insulin resistance, and sarcopenia. Genetic factors, including polymorphisms in IL-6, IL-1Ra, IL-15Ra, and MTHFR genes, play a significant role in determining susceptibility. Lifestyle behaviors, reduced physical activity and frequent intake of ultra-processed foods, further elevate metabolic risks. Advanced diagnostic techniques, particularly Dual-Energy X-ray Absorptiometry (DXA), are essential for accurate identification of NWO, as traditional BMI measurements fail to adequately detect this phenotype. Recognition and management of NWO require shifting from BMI-based classifications to detailed body composition analyses. Incorporating DXA into clinical practice is essential for accurately identifying individuals at metabolic risk. Further research should develop targeted strategies for preventing and treating this specific obesity phenotype.

Indexed as

Ideal Body WeightObesityAbsorptiometry, PhotonBody CompositionBody Mass IndexHumansInsulin ResistanceBody compositionDual-Energy X-ray Absorptiometry (DXA)InflammationNormal Weight ObesityObesity Phenotype

Identifiers

PMID40447890

What Socratic 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 Socratic graph.