Evidence map›Paper›PMID 41953800›Full record

ArticleBrain & NeuroRehabilitation2026

Neuropathic Pain Management in Rehabilitation: Investigating Prescribing Practices and Pain Scores in Inpatients at a Rehabilitation Hospital.

Ritmay Spiteri, Muriel Belizzi, Andrei Agius Anastasi

Abstract read
In one paragraph

Article in Brain & NeuroRehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ritmay SpiteriMater Dei Hospital, Msida, Malta.ORCID https://orcid.org/0009-0009-5824-5768
Muriel BelizziMater Dei Hospital, Msida, Malta.
Andrei Agius AnastasiMater Dei Hospital, Msida, Malta.ORCID https://orcid.org/0000-0002-7143-2869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pain is a prevalent and complex symptom in neurorehabilitation, with differentiation between neuropathic pain (NP) and musculoskeletal pain (MSK) often proving challenging. This study evaluates the effectiveness of the Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) and Douleur Neuropathique en 4 Questions (DN4) tools in distinguishing NP from MSK pain, aiming to guide appropriate analgesic selection in a rehabilitation setting. Seventy inpatients undergoing active rehabilitation (32 males, 38 females) aged 18-91 years (mean: 67 years) were assessed using LANSS and DN4 scores over a 2-week period. Prescribed analgesia was recorded and correlated with pain classification based on these scores. The results showed that stroke patients exhibited a higher prevalence of NP, reflected in elevated LANSS and DN4 scores. Spinal cord injury (SCI) patients had the highest total scores, often necessitating dual therapy with pregabalin and amitriptyline. Conversely, patients with fractures had the lowest scores, suggesting predominantly MSK pain, with minimal neuropathic features. Pregabalin was prescribed to 29% of stroke patients but only 6% of fracture patients. In conclusion, LANSS and DN4 effectively identified NP, with DN4 proving easier to interpret. Findings underscore the need for targeted analgesic strategies in neurorehabilitation particularly that of NP in stroke and SCI patients. This is still under-researched in literature, compared to conditions like diabetic neuropathy, and future studies are needed to explore tailored pain management protocols in rehabilitation patients.

Indexed as

AmitriptylineNeuropathic PainPregabalinSpinal Cord InjuriesStroke

Identifiers

PMID41953800
PMCPMC13053796

What OpenQuestion 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 OpenQuestion graph.