Evidence map›Paper›PMID 30090085›Full record

ArticleFrontiers in endocrinology2018

Analysis of Predictive Equations for Estimating Resting Energy Expenditure in a Large Cohort of Morbidly Obese Patients.

Raffaella Cancello, Davide Soranna, Amelia Brunani, Massimo Scacchi, Antonella Tagliaferri, Stefania Mai, Paolo Marzullo, Antonella Zambon, Cecilia Invitti

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06222775 (Multicomponent Intervention on Lifestyle, Anthropometric Measurements, Glycemic Control and Quality of Life in Patients Obese People With Type II Diabetes), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-weighted citation impact, top 13% 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.

NCT06222775 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Multicomponent Intervention on Lifestyle, Anthropometric Measurements, Glycemic Control and Quality of Life in Patients Obese People With Type II Diabetes

TypeinterventionalSponsorCastilla-La Mancha Health ServiceRan2023 to 2025Enrolled100ConditionsObesity, Diabetes Mellitus, Type 2ArmsGroup session 1, Group session 2, Group session 3, Group session 4, Group session 5
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 36 citations in OpenAlex.

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  19. Indirect Calorimetry in Clinical Practice.Journal of clinical medicine · 2019
    Review
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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

9 authors at 4 institutions in 1 country.

Raffaella CancelloObesity Research Laboratory, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Davide SorannaIRCCS Istituto Auxologico Italiano, Milan, Italy.
Amelia BrunaniDivision of Rehabilitation Medicine, IRCCS Istituto Auxologico Italiano, Piancavallo-Oggebbio, Italy.
Massimo ScacchiDivision of Endocrinology and Metabolic Diseases, IRCCS Istituto Auxologico Italiano, Piancavallo-Oggebbio, Italy.
Antonella TagliaferriDivision of Endocrinology and Metabolic Diseases, IRCCS Istituto Auxologico Italiano, Piancavallo-Oggebbio, Italy.
Stefania MaiLaboratory of Metabolic Research, IRCCS Istituto Auxologico Italiano, Piancavallo-Oggebbio, Italy.
Paolo MarzulloDivision of Endocrinology and Metabolic Diseases, IRCCS Istituto Auxologico Italiano, Piancavallo-Oggebbio, Italy.
Antonella ZambonDepartment of Statistics and Quantitative Methods, Biostatistics, Epidemiology and Public Health, Milano-Bicocca University, Milan, Italy.
Cecilia InvittiObesity Research Laboratory, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Istituti di Ricovero e Cura a Carattere Scientifico · ITIRCCS Istituto Auxologico Italiano · ITUniversity of Milan · ITUniversity of Milano-Bicocca · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment of obesity requires creating an energy deficit through caloric restriction and physical activity. Energy needs are estimated assessing the resting energy expenditure (REE) that in the clinical practice is estimated using predictive equations. In the present cross sectional study, we compared, in a large cohort of morbidly obese patients, the accuracy of REE predictive equations recommended by current obesity guidelines [Harris-Benedict, WHO/FAO/ONU and Mifflin-St Jeor (MJ)] and/or developed for obese patients (Muller, Muller BC, Lazzer, Lazzer BC), focusing on the effect of comorbidities on the accuracy of the equations. Data on REE measured by indirect calorimetry and body composition were collected in 4,247 obese patients (69% women, mean age 48 ± 19 years, mean BMI 44 ± 7 Kg/m

Indexed as

comorbiditiesindirect calorimetryobesityREE predictive equationsresting energy expenditure

Identifiers

PMID30090085
PMCPMC6068274
OpenAlexW2808727010

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.