Evidence map›Paper›PMID 37889369›Full record

SynthesisObesity surgery2023

Estimates of Resting Energy Expenditure and Total Energy Expenditure Using Predictive Equations for Individuals After Bariatric Surgery: a Systematic Review with Meta-analysis.

Mateus L Macena, André E Silva Júnior, Jennifer M Melo, Déborah T Paula, Dafiny R S Praxedes, Nassib B Bueno

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Obesity surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Observational
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

6 authors at 1 institution in 1 country.

Mateus L MacenaLaboratório de Nutrição e Metabolismo (LANUM), Faculdade de Nutrição, Universidade Federal de Alagoas, Maceió, AL, 57072-970, Brazil.
André E Silva JúniorLaboratório de Nutrição e Metabolismo (LANUM), Faculdade de Nutrição, Universidade Federal de Alagoas, Maceió, AL, 57072-970, Brazil. andreeduardojr@hotmail.com.ORCID 0000-0002-1501-171X
Jennifer M MeloLaboratório de Nutrição e Metabolismo (LANUM), Faculdade de Nutrição, Universidade Federal de Alagoas, Maceió, AL, 57072-970, Brazil.
Déborah T PaulaLaboratório de Nutrição e Metabolismo (LANUM), Faculdade de Nutrição, Universidade Federal de Alagoas, Maceió, AL, 57072-970, Brazil.
Dafiny R S PraxedesLaboratório de Nutrição e Metabolismo (LANUM), Faculdade de Nutrição, Universidade Federal de Alagoas, Maceió, AL, 57072-970, Brazil.
Nassib B BuenoLaboratório de Nutrição e Metabolismo (LANUM), Faculdade de Nutrição, Universidade Federal de Alagoas, Maceió, AL, 57072-970, Brazil.
Universidade Federal de Alagoas · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 311401/2022-8Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88887.679721/2022-00Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88887.679724/2022-00Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88887.805029/2023-00Institutional Program for Scientific Initiation Scholarships of Universidade Federal de Alagoas 05/2022
6 · The paper itself

Abstract

purposePatients after metabolic bariatric surgery (MBS) require attention to maintain energy balance and avoid weight regain. Predictive equations for resting energy expenditure (REE) and total energy expenditure (TEE) are needed since gold standard methods like calorimetry and doubly labeled water are rarely available in routine clinical practice. This study aimed to determine which predictive equation for REE and TEE has the lowest bias in subjects after MBS.

methodsMEDLINE, Embase, Web of Science, and CENTRAL searches were performed. Meta-analyses were performed with the data calculated by the predictive equations and measured by the gold standard methods for those equations that had at least two studies with these data. The DerSimonian and Laird random-effects model and the I

resultsSeven studies were included. The present study found that the Mifflin St. Jeor (1990) equation had the lowest bias (mean difference =  - 39.71 kcal [95%CI =  - 128.97; 49.55]) for calculating REE in post-BS individuals. The Harris-Benedict (1919) equation also yielded satisfactory results (mean difference =  - 54.60 kcal [95%CI =  - 87.92; - 21.28]).

conclusionThe predictive equation of Mifflin St. Jeor (1990) was the one that showed the lowest bias for calculating the REE of patients following MBS.

Indexed as

Bariatric SurgeryObesity, MorbidBasal MetabolismCalorimetry, IndirectEnergy MetabolismHumansPredictive Value of TestsReproducibility of ResultsBariatric surgeryCalorimetryEnergy metabolismMetabolic SurgeryPredictive equations

Identifiers

PMID37889369
OpenAlexW4387965855

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.