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Record W4413113521 · doi:10.1186/s12891-025-09047-3

Association of paraspinal muscle morphology or composition with sagittal spinopelvic alignment: a systematic review and meta-analysis

2025· review· en· W4413113521 on OpenAlexaboutno aff
Fangda Si, Aobo Wang, Ying Chen, Ning Fan, Tianyi Wang

Bibliographic record

VenueBMC Musculoskeletal Disorders · 2025
Typereview
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsnot available
FundersChina-Japan Friendship Hospital
KeywordsMedicineSagittal planeMultifidus muscleMeta-analysisPelvic tiltLumbarLumbar lordosisSports medicineErector spinae musclesSubgroup analysisAnatomyInternal medicineLow back painPhysical therapyPathology

Abstract

fetched live from OpenAlex

PURPOSE: The aim of this study was to evaluate the association of paraspinal muscle morphology and composition with sagittal spinopelvic alignment (SSA). METHODS: This review was registered at PROSPERO (CRD42022371879). Four databases including PubMed, Embase, Cochrane, and Web of Science were searched from their inception until December 15, 2024. The scope of paraspinal muscles included multifidus (MF), erector spinae (ES), psoas major (PM), and paraspinal extensor muscles (PEM; combined multifidus and erector spinae). The cross-sectional area (CSA) and fat signal fraction (FSF) were the metrics for quantifying paraspinal muscle morphology and composition, respectively. The outcomes of interest were SSA parameters, including C7-S1 sagittal vertical axis (SVA), thoracic kyphosis (TK), lumbar lordosis (LL), pelvic tilt (PT), sacral slope (SS), pelvic incidence (PI), and PI minus LL mismatch (PI - LL). The methodological quality and risk of bias of each included studies was assessed using the Newcastle-Ottawa Scale and its adapted form. Correlation coefficients extracted from included studies were transformed to a Fisher's z correlational coefficient to perform a meta-analysis and to generate a pooled effect size (z) and 95% confidence intervals (CIs). RESULTS: Sixteen observational studies with 1535 participants were included in the meta-analysis. We found a positive association of paraspinal muscle CSA with TK (MFCSA, z = 0.17, 95% CI: 0.01 to 0.32, p = 0.041; PEMCSA, z = 0.17, 95% CI: 0.06 to 0.28, p = 0.002) and LL (PMCSA, z = 0.12, 95% CI: 0.02 to 0.22, p = 0.019), whereas a negative correlation with SVA (MFCSA, z = - 0.35, 95% CI: -0.67 to - 0.02, p = 0.036; PEMCSA, z = - 0.25, 95% CI: -0.45 to - 0.05, p = 0.015), PT (PMCSA, z = - 0.22, 95% CI: -0.39 to - 0.05, p = 0.012), PI (PMCSA, z = - 0.13, 95% CI: -0.23 to - 0.02, p = 0.020), and PI-LL (MFCSA, z = - 0.50, 95% CI: -0.69 to - 0.30, p < 0.00001; PMCSA, z = - 0.20, 95% CI: -0.34 to - 0.05, p = 0.007; PEMCSA, z = - 0.28, 95% CI: -0.38 to - 0.18, p < 0.00001). Meanwhile, paraspinal muscle FSF showed a positive correlation with SVA (PEMFSF, z = 0.39, 95% CI: 0.30 to 0.47, p < 0.00001), PT (PEMFSF, z = 0.45, 95% CI: 0.35 to 0.54, p < 0.00001), and PI-LL (PEMFSF, z = 0.29, 95% CI: 0.17 to 0.41, p < 0.00001), while a negative correlation with PI (PMFSF, z = - 0.14, 95% CI: -0.27 to - 0.01, p = 0.029) and SS (PEMFSF, z = - 0.25, 95% CI: -0.41 to - 0.08, p = 0.004). We also observed the associations were stronger in populations without degenerative spinal diseases, in studies that used computed tomography for paraspinal muscle morphology and composition assessment, and in studies with moderate study quality. Of the 15 significant associations reported here, only 3 were supported by moderate to high-level evidence, while others were supported by very low to low evidence certainty. CONCLUSION: Paraspinal muscle morphology and composition were associated with SSA. Further studies are warranted to establish causality and to elucidate the underlying mechanisms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.739
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0090.004
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.351
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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