Evidence map›Paper›PMID 39246571›Full record

ArticleHand therapy2024

Effectiveness of dry needling to treat lateral epicondylosis: A case report.

Nathan Short, Jill Linder, Ethan Stump

Abstract readCase Reports
In one paragraph

Article in Hand therapy, 2024. 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.

Nathan ShortOccupational Therapy Program, Huntington University, Fort Wayne, IN, USA.ORCID https://orcid.org/0000-0002-0330-1584
Jill LinderOccupational Therapy Program, Huntington University, Fort Wayne, IN, USA.
Ethan StumpOccupational Therapy Program, Huntington University, Fort Wayne, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study presents the use of dry needling (DN) as an intervention to support functional rehabilitation for an adult diagnosed with lateral epicondylosis. Methods: A retrospective, single subject, AB design was implemented. A 50-year-old male with a six-month history of dominant left lateral epicondylosis received traditional interventions for 4 weeks (baseline phase; A) followed by the same interventions with the addition of DN (intervention phase; B). The QuickDASH assessment, numeric rating scale (NRS) for pain, grip strength (elbow flexed and neutral), and Maudsley's test were used as measures of effectiveness along with patient self-report of ability to perform activities of daily living (ADLS), instrumental ADLs, work, and leisure occupations. Results: The patient made minimal progress for the initial 4 weeks of traditional treatment. There were no changes to his initial pain rating of 7/10 on the NRS, left hand grip strength (67 lbs.), or initial QuickDASH score. DN was initiated at week five with a reduction in pain from 7/10 to 2/10 from weeks six to eight. He was discharged at week 12 with no pain, a score of 0/100 on the QuickDASH, non-painful grip of 83 lbs., and a self-report of the ability to perform all ADLs, instrumental ADLs, work, and leisure occupations independently. Conclusions: Dry needling appears to have been an effective intervention when integrated with a holistic approach for an individual with chronic lateral epicondylosis. More research is needed to evaluate dry needling as an intervention to support functional rehabilitation with a larger sample size and randomization.

Indexed as

dry needlingeffectivenessinterventions to support occupational performanceQuickDASH

Identifiers

PMID39246571
PMCPMC11378533

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.