Evidence map›Paper›PMID 36484943›Full record

ReviewReviews in endocrine & metabolic disorders2023

Phase angle (PhA) in overweight and obesity: evidence of applicability from diagnosis to weight changes in obesity treatment.

Raffaella Cancello, Amelia Brunani, Ettore Brenna, Davide Soranna, Simona Bertoli, Antonella Zambon, Henry C Lukaski, Paolo Capodaglio

Erratum issuedOpen access · hybridAbstract readReview
In one paragraph

Review in Reviews in endocrine & metabolic disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Relevance of standardized phase angle and bioelectrical impedance vectors in hospitalized older patients: A cohort study.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Exploring obesity phenotypes: a longitudinal perspective.Reviews in endocrine & metabolic disorders · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Raffaella CancelloObesity Unit and Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Amelia BrunaniLaboratory of Biomechanics, Rehabilitation and Ergonomics, IRCCS, Istituto Auxologico Italiano, Piancavallo Verbania, Italy. brunani@auxologico.it.ORCID 0000-0003-3059-544X
Ettore BrennaBiostatistic Unit, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Davide SorannaBiostatistic Unit, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Simona BertoliObesity Unit and Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Antonella ZambonBiostatistic Unit, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Henry C LukaskiDepartment of Kinesiology and Public Health Education, University of North Dakota, Grand Forks, USA.
Paolo CapodaglioLaboratory of Biomechanics, Rehabilitation and Ergonomics, IRCCS, Istituto Auxologico Italiano, Piancavallo Verbania, Italy.
IRCCS Istituto Auxologico Italiano · ITUniversity of Milan · ITUniversity of North Dakota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phase angle (PhA) is a recently proposed marker of nutritional status in many clinical conditions. Its use in patients with obesity presents different critical concerns due to the higher variability of the two measured parameters (resistance, R, and reactance, Xc) that contribute to the determination of PhA. Controversial is the relation between PhA and BMI that might vary with graded levels of obesity due to the variation in fat and free fat mass. Obesity is frequently associated with metabolic, hepatic, cardiovascular and kidney diseases that introduce variations in PhA values, in relation to multimorbidity and severity degree of these diseases. It is reported that the improvement of clinical condition is associated with a positive change in PhA. Also, the treatment of obesity with weight loss might confirm this effect, but with different responses in relation to the type and duration of the intervention applied. In fact, the effect appears not only related to the percentage of weight loss but also the possible loss of free fat mass and the nutritional, metabolic and structural modifications that might follow each therapeutic approach to decrease body weight. We can conclude that the PhA could be used as marker of health status in patients with obesity supporting an appropriate weight loss intervention to monitor efficacy and fat free mass preservation.

Indexed as

Body CompositionOverweightHumansNutritional StatusObesityWeight LossBIABioelectrical impedance analysisBIVAObesityPhase angleWeight loss

Identifiers

PMID36484943
PMCPMC9735068
OpenAlexW4311293099

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.