Evidence map›Paper›PMID 39727056›Full record

ArticleAnnals of neurology2025

Prediction of Central Post-Stroke Pain by Quantitative Sensory Testing.

Susanna Asseyer, Eleni Panagoulas, Jana Maidhof, Kersten Villringer, Esra Al, Xiuhui Chen, Thomas Krause, Samyogita Hardikar, Arno Villringer, Gerhard Jan Jungehülsing

Abstract read
In one paragraph

Article in Annals of neurology, 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

10 authors.

Susanna Asseyer *Experimental and Clinical Research Centre, Max Delbrück Center Berlin and Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.ORCID 0000-0001-6289-1791
Eleni Panagoulas *BCAN Berlin Centre for Advanced Neuroimaging, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Jana MaidhofDepartment of General Surgery, DRK-Clinic Berlin Köpenick, Berlin, Germany.
Kersten VillringerCentre for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Esra AlDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Function, Leipzig, Germany.
Xiuhui ChenDepartment of Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Thomas KrauseDepartment of Neurology, Jewish Hospital Berlin, Berlin, Germany.
Samyogita HardikarDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Function, Leipzig, Germany.
Arno Villringer *BCAN Berlin Centre for Advanced Neuroimaging, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Gerhard Jan Jungehülsing *Department of Neurology, Jewish Hospital Berlin, Berlin, Germany.

Funding

Deutsche Forschungsgemeinschaft 337619223/RTG2386
6 · The paper itself

Abstract

objectiveAmong patients with acute stroke, we aimed to identify those who will later develop central post-stroke pain (CPSP) versus those who will not (non-pain sensory stroke [NPSS]) by assessing potential differences in somatosensory profile patterns and evaluating their potential as predictors of CPSP.

methodsIn a prospective longitudinal study on 75 acute stroke patients with somatosensory symptoms, we performed quantitative somatosensory testing (QST) in the acute/subacute phase (within 10 days) and on follow-up visits for 12 months. Based on previous QST studies, we hypothesized that QST values of cold detection threshold (CDT) and dynamic mechanical allodynia (DMA) would differ between CPSP and NPSS patients before the onset of pain. Mann-Whitney U-tests and mixed analysis of variances with Bonferroni corrections were performed to compare z-normalized QST scores between both groups.

resultsIn total, 26 patients (34.7%) developed CPSP. In the acute phase, CPSP patients showed contralesional cold hypoesthesia compared to NPSS patients (p = 0.04), but no DMA differences. Additional exploratory analysis showed NPSS patients exhibit cold hyperalgesia on the contralesional side compared to the ipsilesional side, not seen in CPSP patients (p = 0.011). A gradient-boosting approach to predicting CPSP from QST patterns before pain onset had an overall accuracy of 84.6%, with a recall and precision of 75%. Notably, both in the acute and the chronic phase, approximately 80% of CPSP and NPSS patients showed bilateral QST abnormalities.

interpretationCold perception differences between CPSP and NPSS patients appear early post stroke before pain onset. Prediction of CPSP through QST patterns seems feasible. ANN NEUROL 2025;97:507-520.

Indexed as

HyperalgesiaPainStrokeAgedAged, 80 and overFemaleHumansLongitudinal StudiesMaleMiddle AgedPain MeasurementPredictive Value of TestsProspective Studies

Identifiers

PMID39727056
PMCPMC11831871

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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.