Evidence mapPaperPMID 40487774Full record

ArticleThe Lancet regional health. Europe2025

Intermuscular adipose tissue and lean muscle mass assessed with MRI in people with chronic back pain in Germany: a retrospective observational study.

Sebastian Ziegelmayer, Hartmut Häntze, Christian Mertens, Felix Busch, Tristan Lemke, Jakob Nikolas Kather, Daniel Truhn, Su Hwan Kim, Benedikt Wiestler, Markus Graf and 17 more

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

27 authors.

Sebastian ZiegelmayerDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine and Health, Klinikum Rechts der Isar, TUM University Hospital, Ismaninger Str. 22, 81675, Munich, Germany.
Hartmut HäntzeDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Christian MertensDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine and Health, Klinikum Rechts der Isar, TUM University Hospital, Ismaninger Str. 22, 81675, Munich, Germany.
Felix BuschDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine and Health, Klinikum Rechts der Isar, TUM University Hospital, Ismaninger Str. 22, 81675, Munich, Germany.
Tristan LemkeDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine and Health, Klinikum Rechts der Isar, TUM University Hospital, Ismaninger Str. 22, 81675, Munich, Germany.
Jakob Nikolas KatherElse Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, 01307, Dresden, Germany.
Daniel TruhnDiagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany.
Su Hwan KimDepartment of Diagnostic and Interventional Neuroradiology, Technical University of Munich, School of Medicine and Health, Klinikum Rechts der Isar, TUM University Hospital, Ismaninger Str. 22, 81675, Munich, Germany.
Benedikt WiestlerAI for Image-Guided Diagnosis and Therapy, School of Medicine and Health, Technical University of Munich, Germany.
Markus GrafDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine and Health, Klinikum Rechts der Isar, TUM University Hospital, Ismaninger Str. 22, 81675, Munich, Germany.
Avan KaderDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine and Health, Klinikum Rechts der Isar, TUM University Hospital, Ismaninger Str. 22, 81675, Munich, Germany.
Fabian BambergDepartment of Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany.
Christopher L SchlettDepartment of Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany.
Jakob B WeissDepartment of Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany.
Jeanette Schulz-MengerECRC Experimental and Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Lindenberger Weg 80, 13125, Berlin, Germany.
Steffen RinghofDepartment of Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany.
Elif CanDepartment of Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany.
Tobias PischonMolecular Epidemiology Research Group, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Thoralf NiendorfBerlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Jacqueline LammertDepartment of Gynecology and Center for Hereditary Breast and Ovarian Cancer, Technical University of Munich (TUM), School of Medicine and Health, Klinikum Rechts der Isar, TUM University Hospital, Munich, Germany.
Matthias SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Thomas KeilInstitute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
Annette PetersInstitute of Epidemiology, German Research Center for Environmental Health, Helmholtz Zentrum Munich, Neuherberg, Germany.
Martin HadamitzkyDepartment of Cardiovascular Radiology and Nuclear Medicine, Technical University of Munich, School of Medicine and Health, German Heart Center, TUM University Hospital, Lazarethstr. 36, 80636, Munich, Germany.
Marcus R MakowskiDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine and Health, Klinikum Rechts der Isar, TUM University Hospital, Ismaninger Str. 22, 81675, Munich, Germany.
Lisa AdamsDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine and Health, Klinikum Rechts der Isar, TUM University Hospital, Ismaninger Str. 22, 81675, Munich, Germany.
Keno BressemDepartment of Cardiovascular Radiology and Nuclear Medicine, Technical University of Munich, School of Medicine and Health, German Heart Center, TUM University Hospital, Lazarethstr. 36, 80636, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic back pain (CBP) affects over 80 million people in Europe, contributing to substantial healthcare costs and disability. Understanding modifiable risk factors, such as muscle composition, may aid in prevention and treatment. This study investigates the association between lean muscle mass (LMM) and intermuscular adipose tissue (InterMAT) with CBP using noninvasive whole-body magnetic resonance imaging (MRI). Methods: This cross-sectional analysis used whole-body MRI data from 30,868 participants in the German National Cohort (NAKO), collected between 1 May 2014 and 1 September 2019. CBP was defined as back pain persisting >3 months. LMM and InterMAT were quantified via MRI-based muscle segmentations using a validated deep learning model. Associations were analyzed using mixed logistic regression, adjusting for age, sex, diabetes, dyslipidemia, osteoporosis, osteoarthritis, physical activity, and study site. Findings: Among 27,518 participants (n = 12,193/44.3% female, n = 14,605/55.7% male; median age 49 years IQR 41; 57), 21.8% (n = 6003; n = 2999/50.0% female, n = 3004/50% male; median age 53 years IQR 46; 60) reported CBP, compared to 78.2% (n = 21,515; n = 9194/42.7% female, n = 12,321/57.3% male; median age 48 years IQR 39; 56) who did not. CBP prevalence was highest in those with low (<500 MET min/week) or high (>5000 MET min/week) self-reported physical activity levels (24.6% (n = 10,892) and 22.0% (n = 3800), respectively) compared to moderate (500-5000 MET min/week) levels (19.4% (n = 12,826); p < 0.0001). Adjusted analyses revealed that a higher InterMAT (OR 1.22 per 2-unit Z-score; 95% CI 1.13-1.30; p < 0.0001) was associated with an increased likelihood of chronic back pain (CBP), whereas higher lean muscle mass (LMM) (OR 0.87 per 2-unit Z-score; 95% CI 0.79-0.95; p = 0.003) was associated with a reduced likelihood of CBP. Stratified analyses confirmed these associations persisted in individuals with osteoarthritis (OA-CBP LMM: 22.9 cm Interpretation: This large, population-based study highlights the associations of InterMAT and LMM with CBP. Given the limitations of the cross-sectional design, our findings can be seen as an impetus for further causal investigations within a broader, multidisciplinary framework to guide future research toward improved prevention and treatment. Funding: The NAKO is funded by the Federal Ministry of Education and Research (BMBF) [project funding reference numbers: 01ER1301A/B/C, 01ER1511D, 01ER1801A/B/C/D and 01ER2301A/B/C], federal states of Germany and the Helmholtz Association, the participating universities and the institutes of the Leibniz Association.

Indexed as

Body compositionChronic back painGerman national cohortMuscle compositionPhysical activity

Identifiers

PMID40487774
PMCPMC12141060

What Socratic 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 Socratic graph.