Evidence map›Paper›PMID 41405847›Full record

ReviewDiabetes2026

Toward Scientific Rigor: Setting Standards for Indirect Calorimetry Analysis and Reporting.

Elizabeth L Lieu, Mark A Herman, Sean M Hartig

Abstract readReview
In one paragraph

Review in Diabetes, 2026. 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
–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

1 citing paper in PubMed.

  1. 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

3 authors.

Elizabeth L LieuSection of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Baylor College of Medicine, Houston, TX.
Mark A HermanSection of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Baylor College of Medicine, Houston, TX.ORCID 0000-0001-6979-103X

Funding

METABOLIC IMPACTS OF TYPE II INTERFERON SIGNALS IN OBESITYR01DK114356 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI HARTIG, SEAN · 2017 to 2025
$4.6M
Pilot and FeasibilityP30DK144025 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Kristin Eckel Mahan · 2025 to 2026
$3.6M
MICRORNA REGULATION OF ADIPOSE TISSUE IMMUNE RESPONSE IN OBESITYR01DK139397 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Sean Hartig, Huaizhu Wu · 2024 to 2026
$2.0M
Molecular regulation of leptin bioavailabilityR01DK138018 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Sean Hartig · 2024 to 2026
$1.9M
ChREBP in Liver Metabolism: Defining Mechanisms and Resolving ControversiesR01DK143601 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI MARK A HERMAN · 2025 to 2026
$1.2M
NIDDK NIH HHS R01 DK114356NIDDK NIH HHS R01 DK138018NIDDK NIH HHS R01 DK139397NIH HHS P30DK144025NIH HHS R01DK114356NIH HHS R01DK138018NIH HHS R01DK139397NIH HHS R01DK143601
6 · The paper itself

Abstract

Indirect calorimetry determines energy expenditure by measuring respiratory gas exchange. The approach is based on the principle that nutrient metabolism consumes O2 and produces CO2 and water in predictable ratios that can be compared with heat production. Due to the impracticality and high cost of direct calorimetry, indirect calorimetry is the major approach for modern metabolic studies in preclinical models. Despite the broad adoption of this method in rodent phenotyping, the field has lacked standardized methods for analyzing, representing, and sharing these data, limiting scientific progress. The recent review in Nature Metabolism by the International Indirect Calorimetry Consensus Committee (IICCC) addresses the lack of standardized methods by providing updated guidelines for data processing and representation and emphasizes the importance of shared data repositories tailored to these studies. These expert consensus standards aim to improve transparency, facilitate data sharing and archiving, and enhance cross-study comparability. We encourage authors submitting to Diabetes to adopt the IICCC guidelines to strengthen rigor and reproducibility in the field.

Indexed as

Calorimetry, IndirectAnimalsEnergy MetabolismHumansReproducibility of Results

Identifiers

PMID41405847
PMCPMC12928740

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.