Evidence map›Paper›PMID 40734876›Full record

ArticleCureus2025

Precision Rehabilitation Through Mathematical Modeling: A New Frontier in Medicine.

Raktim Swarnakar

Abstract readEditorial
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

1 author.

Raktim SwarnakarPhysical Medicine and Rehabilitation, National Cancer Institute, Jhajjar Campus, All India Institute of Medical Sciences, New Delhi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rehabilitation medicine is undergoing a significant transformation with the integration of precision-based approaches grounded in mathematical modeling. Traditional rehabilitation protocols, often generalized and uniform, fail to capture the diverse recovery patterns seen in patients with neurological and musculoskeletal injuries such as stroke, spinal cord injury, or traumatic brain injury. To address this variability, mathematical modeling can be used to predict functional recovery over time through a differential equation that incorporates therapy intensity, baseline function, individual recovery potential, and the natural recovery plateau. Key parameters include functional ability at time

Indexed as

individualized therapymathematical modelingoutcome measurementsprecision therapyrehabilitation

Identifiers

PMID40734876
PMCPMC12306515

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.