Evidence map›Paper›PMID 37529645›Full record

ArticleClinical kidney journal2023

Development and validation of a new equation based on plasma creatinine and muscle mass assessed by CT scan to estimate glomerular filtration rate: a cross-sectional study.

Thomas Stehlé, Yaniss Ouamri, Antoine Morel, Emmanuelle Vidal-Petiot, Soraya Fellahi, Lauriane Segaux, Dominique Prié, Philippe Grimbert, Alain Luciani, Vincent Audard and 9 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

19 authors.

Thomas StehléUniv. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France.ORCID https://orcid.org/0000-0001-9828-3245
Yaniss OuamriUniv. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France.
Antoine MorelUniv. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France.ORCID https://orcid.org/0000-0002-3443-5024
Emmanuelle Vidal-PetiotUniversité Paris Cité, Institut National de la Santé et de la Recherche Médicale (INSERM), U1149, Paris, France.ORCID https://orcid.org/0000-0001-9356-7302
Soraya FellahiUniversité Pierre et Marie Curie Paris 6, Hôpital Pitié-Salpêtrière, Assistance Publique des Hôpitaux de Paris (APHP), Paris, France.
Lauriane SegauxUniv. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France.
Dominique PriéUniversité de Paris Cité, Faculté de Médecine, Institut National de la Santé et de la Recherche Médicale (INSERM) U1151, Paris, France.
Philippe GrimbertUniv. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France.
Alain LucianiUniv. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France.
Vincent AudardUniv. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France.
Jean Philippe HaymannUniv. Paris Diderot, Sorbonne Paris Cité, Institut National de la Santé et de la Recherche Médicale (INSERM), U1155.
Sébastien MuléUniv. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France.
Eric De KervilerAssistance Publique des Hôpitaux de Paris (AP-HP), Hôpitaux de Paris, Hôpital Tenon, Département de Physiologie-Explorations Fonctionnelles, Paris, France.
Marie-Noëlle PeraldiAssistance Publique des Hôpitaux de Paris (AP-HP), Hôpital Saint Louis, Service de Néphrologie, Paris, France.
Anne BouttenAssistance Publique des Hôpitaux de Paris (AP-HP), Hôpitaux de Paris, hôpital Bichat, Département de Biochimie Clinique, Paris, France.
Marie MatignonUniv. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France.
Florence Canouï-PoitrineUniv. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France.
Martin FlamantUniversité Paris Cité, Institut National de la Santé et de la Recherche Médicale (INSERM), U1149, Paris, France.
Frédéric PigneurUniv. Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale (INSERM) U955, Institut Mondor de Recherche Biomédicale (IMRB), Créteil, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inter-individual variations of non-glomerular filtration rate (GFR) determinants of serum creatinine, such as muscle mass, account for the imperfect performance of estimated GFR (eGFR) equations. We aimed to develop an equation based on creatinine and total lumbar muscle cross-sectional area measured by unenhanced computed tomography scan at the third lumbar vertebra. Methods: The muscle mass-based eGFR (MMB-eGFR) equation was developed in 118 kidney donor candidates (iohexol clearance) using linear regression. Validation cohorts included 114 healthy subjects from another center ( Results: In validation population 1, performance of MMB-eGFR was not different from those of CKD-EPI Conclusion: MMB-eGFR displayed better performances than equations based on demographics, and could be applied to subjects of various ethnic backgrounds.

Indexed as

creatinineCT scancystatin Cestimated glomerular filtration ratemuscle masssarcopenia

Identifiers

PMID37529645
PMCPMC10387393

What OpenQuestion holds

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Registered trials

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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.