Evidence map›Paper›PMID 38933541›Full record

ArticleFrontiers in bioengineering and biotechnology2024

Musculoskeletal spine modeling in large patient cohorts: how morphological individualization affects lumbar load estimation.

Tanja Lerchl, Kati Nispel, Jannis Bodden, Anjany Sekuboyina, Malek El Husseini, Christian Fritzsche, Veit Senner, Jan S Kirschke

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Impact of vertebrae shape variation on lumbar spine loading: an image-based computational modeling study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  3. Article
  4. Machine learning outperforms anthropometric scaling in predicting muscle parameters and spinal loading: a subject-specific musculoskeletal modeling study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  5. Review
  6. Article
  7. 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

8 authors.

Tanja LerchlAssociate Professorship of Sports Equipment and Sports Materials, School of Engineering and Design, Technical University of Munich, Garching, Germany.
Kati NispelAssociate Professorship of Sports Equipment and Sports Materials, School of Engineering and Design, Technical University of Munich, Garching, Germany.
Jannis BoddenDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Anjany SekuboyinaDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Malek El HusseiniDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Christian FritzscheAssociate Professorship of Sports Equipment and Sports Materials, School of Engineering and Design, Technical University of Munich, Garching, Germany.
Veit SennerAssociate Professorship of Sports Equipment and Sports Materials, School of Engineering and Design, Technical University of Munich, Garching, Germany.
Jan S KirschkeDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

automated model generationindividualizationmulti body dynamicsspinal biomechanicsspinal loadingsubject-specific modeling

Identifiers

PMID38933541
PMCPMC11199547

What Socratic holds

Textmetadata
LicenceCC BY
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.