# Meta-analysis of 23 studies: biomarkers add 0.112 AUC to clinical models for post-stroke arm recovery

- Published: 2026-11-14 18:11 UTC
- Section: Life & Health › Medicine
- Tags: post-stroke motor recovery, upper limb prognosis, multimodal assessment, motor evoked potentials, diffusion tensor imaging, task-based fMRI, incremental AUC, subacute stroke, systematic review
- URL: https://realtech.media/news/rt-6fa9787ae4d1e73109d48bf2_meta_analysis_of/

**Authors pooled 23 prospective cohorts (1,341 patients): adding biomarkers to clinical scales improved prediction of upper limb recovery at 3–6 months, but evidence is not yet robust.**

![Meta-analysis of 23 studies: biomarkers add 0.112 AUC to clinical models for post-stroke arm recovery](https://realtech.media/media/2026/11/b13fdae0deeaeb4a.jpg)
*Bobjgalindo, Wikimedia Commons, CC BY-SA 4.0*

A systematic review and meta-analysis published in Frontiers in Neurology found that adding neuroimaging and neurophysiological biomarkers to clinical models improves prediction of upper limb motor recovery 3–6 months after stroke. The authors searched PubMed, Embase and Web of Science from inception to January 31, 2026, and included 23 prospective cohort studies with 1,341 participants in total [1]. Each study evaluated at least two assessment modalities.

Clinical scales are widely used to predict motor recovery after stroke, but they are insensitive to neural substrates. Imaging and neurophysiological methods capture the integrity of the corticospinal tract, but their incremental value over clinical assessment had not been quantified. The authors measured it as the change in the area under the ROC curve (ΔAUC) between multimodal and clinical-only models, using random-effects pooling. Risk of bias was assessed with the QUIPS tool, and sensitivity analyses used alternative between-study variance estimators and the Hartung-Knapp adjustment.

## Gain by modality

Multimodal assessment improved prognostic accuracy over clinical models alone: pooled ΔAUC was +0.112 (95% CI 0.061 to 0.163, p < 0.001) [1]. Motor evoked potential (MEP) status showed the largest incremental gain, ΔAUC = +0.150 (95% CI 0.023 to 0.277; I² = 71.0%).

Some results rest on single studies. Fractional anisotropy of the ipsilesional corticospinal tract gave ΔAUC = +0.220 (95% CI 0.110 to 0.330) in one study. Task-based fMRI gave +0.190 (95% CI 0.088 to 0.292) in one study. Other diffusion tensor imaging metrics did not reach statistical significance: +0.074 (95% CI −0.006 to 0.155). Data for EEG, kinematic parameters and resting-state fMRI could not be pooled.

## Timing and limitations

Meta-regression identified stroke phase as a significant moderator (β = −0.127, 95% CI −0.247 to −0.007, p = 0.039). Biomarkers added more in the subacute phase than in the acute phase [1].

The authors stress the limits of the evidence. The number of studies is small and the prediction interval crosses zero. They describe the findings as statistically promising but not yet robust enough to guide routine clinical practice. Further validation in larger prospective cohorts is needed before MEP-guided stratification can be applied clinically. The review is registered in PROSPERO under CRD420261288506.

## Sources

1. [Frontiers in Neurology](https://doi.org/10.3389/fneur.2026.1845257)
2. [bioengineer.org](https://bioengineer.org/biomarkers-improve-post-stroke-motor-recovery-prediction-over-clinical-scales-in-meta-analysis)

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Source: RealTech, realtech.media — https://realtech.media/news/rt-6fa9787ae4d1e73109d48bf2_meta_analysis_of/