Evidence map›Paper›PMID 42706735›Full record

ReviewHand (New York, N.Y.)2026

Objective Preoperative Prognostic Tools for Predicting Recovery After Carpal Tunnel Decompression: a Systematic Review.

Yusef Hafez, Elizabeth Prins, Mukesh Ramnarayan, Sara Sadat Farshidfar, Mohammed Baba, Candice Delcourt

Abstract readReview
In one paragraph

Review in Hand (New York, N.Y.), 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

6 authors.

Yusef HafezMacquarie University, Sydney, NSW, Australia.ORCID 0009-0006-7699-359X
Elizabeth PrinsMacquarie University, Sydney, NSW, Australia.
Mukesh RamnarayanMacquarie University, Sydney, NSW, Australia.
Sara Sadat FarshidfarMacquarie University, Sydney, NSW, Australia.ORCID 0000-0003-1845-0205
Mohammed BabaSydney Adventist Hospital, NSW, Australia.
Candice DelcourtMacquarie University, Sydney, NSW, Australia.ORCID 0000-0003-2257-4286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carpal tunnel syndrome (CTS) is commonly treated with surgical release of the transverse carpal ligament. However, predicting postoperative recovery remains challenging. To summarise the current relationship between preoperative objective severity measures and postoperative recovery and direct the development of future research, a systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. MEDLINE, Embase, Scopus, CENTRAL, CINAHL and Web of Science were searched from database inception to April 19, 2026. Seventeen studies (1997-2024) were included in this review. Nerve conduction studies (NCSs) were the most common preoperative modality, followed by ultrasound, electromyography and carpal tunnel pressure. Eleven studies reported an association between preoperative severity and clinical outcome, whereas 6 studies found no association. Notably, non-NCS modalities demonstrated positive associations; however, they were underrepresented in the literature. This review provides important insight into the relationship between objective preoperative CTS severity and recovery. More importantly, it provides guidance on the research required to establish the relationship and direct patient counselling.

Indexed as

carpal tunnel syndromedecompressionelectromyographynerve conduction studiesprognosissurgerysurgicaltreatment outcomeultrasonography

Identifiers

PMID42706735
PMCPMC13553974

What OpenQuestion holds

Textmetadata
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.