Evidence map›Paper›PMID 42452382›Full record

ReviewJournal of clinical medicine2026

Artificial Intelligence-Based Physical Therapy Interventions for Non-Specific Low Back Pain: A Systematic Review and Meta-Analysis of Randomised Controlled Trials.

Faizan Kashoo, Shagun Agarwal, Naif Ziyad Alrashdi, Sultan Alanazi, Msaad Alzhrani, Ahmad Alanazi, Jyoti Sharma, Mohammad Sidiq, Mehrunnisha Ahmed, Mohamed K Seyam

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of clinical medicine, 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

10 authors.

Faizan KashooDepartment of Physical Therapy and Health Rehabilitation, College of Applied Medical Sciences, Majmaah University, Al Majmaah 11952, Saudi Arabia.ORCID 0000-0002-8272-674X
Shagun AgarwalDepartment of Physiotherapy, School of Allied Health Sciences, Galgotias University, Greater Noida 203201, Uttar Pradesh, India.ORCID 0000-0003-4265-2958
Naif Ziyad AlrashdiDepartment of Physical Therapy and Health Rehabilitation, College of Applied Medical Sciences, Majmaah University, Al Majmaah 11952, Saudi Arabia.ORCID 0000-0002-2263-1968
Sultan AlanaziDepartment of Physical Therapy and Health Rehabilitation, College of Applied Medical Sciences, Majmaah University, Al Majmaah 11952, Saudi Arabia.ORCID 0000-0002-9442-5960
Msaad AlzhraniDepartment of Physical Therapy and Health Rehabilitation, College of Applied Medical Sciences, Majmaah University, Al Majmaah 11952, Saudi Arabia.ORCID 0000-0002-4233-9673
Ahmad AlanaziDepartment of Physical Therapy and Health Rehabilitation, College of Applied Medical Sciences, Majmaah University, Al Majmaah 11952, Saudi Arabia.ORCID 0000-0002-5604-1835
Jyoti SharmaDepartment of Physiotherapy, School of Allied Health Sciences, Galgotias University, Greater Noida 203201, Uttar Pradesh, India.ORCID 0000-0002-6510-3903
Mohammad SidiqPhysiotherapy Department, Tishk International University, Erbil, Iraq.ORCID 0000-0003-2448-8971
Mehrunnisha AhmedCollege of Nursing, Majmaah University, Al Majmaah 11952, Saudi Arabia.
Mohamed K SeyamDepartment of Physical Therapy and Health Rehabilitation, College of Applied Medical Sciences, Majmaah University, Al Majmaah 11952, Saudi Arabia.ORCID 0000-0003-2903-9198

Funding

Majmaah University HRC-2026_XX
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

computational intelligencedigital healthdisabilityeHealthevidence synthesismachine learningODIpooled analysisRMDQ

Identifiers

PMID42452382
PMCPMC13361525

What OpenQuestion 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 OpenQuestion graph.