Evidence map›Paper›PMID 39989888›Full record

ArticleJournal of patient experience2025

Does the Internet Provide Accurate Information About Foregoing Treatment for Common Musculoskeletal Conditions.

Ruth Simpson, Sruthi Gade, Anita Prabhu, George E Sayegh, David Ring

Abstract read
In one paragraph

Article in Journal of patient experience, 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. Article
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

5 authors.

Ruth SimpsonDepartment of Surgery and Perioperative Care, Dell Medical School at The University of Texas at Austin, Austin, TX, USA.
Sruthi GadeDepartment of Surgery and Perioperative Care, Dell Medical School at The University of Texas at Austin, Austin, TX, USA.
Anita PrabhuDepartment of Surgery and Perioperative Care, Dell Medical School at The University of Texas at Austin, Austin, TX, USA.
George E SayeghDepartment of Surgery and Perioperative Care, Dell Medical School at The University of Texas at Austin, Austin, TX, USA.
David RingDepartment of Surgery and Perioperative Care, Dell Medical School at The University of Texas at Austin, Austin, TX, USA.ORCID https://orcid.org/0000-0002-6506-4879

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We studied how websites address the consequences of leaving common musculoskeletal conditions untreated, two that have a benign, self-limiting course without treatment (de Quervain tendinopathy, lateral epicondylitis) and one that is expected to have progressive nerve deterioration without treatment (carpal tunnel syndrome). Using a common search engine, the first 120 websites addressing each diagnosis were rated for statements regarding disease progression and need for surgery without treatment. Most sites stated that disease would worsen without treatment: carpal tunnel syndrome (99%), lateral epicondylitis (91%), and de Quervain tendinopathy (72%). For each condition, approximately a third of the websites stated surgery might become necessary. The observation of inadequate distinction between conditions that deteriorate with treatment from those that resolve without treatment emphasizes the potential for harm by reinforcing common misconceptions such as "this is taking too long" or "this will not resolve without treatment" and by jeopardizing personal health agency. Producers of online medical information can add an item to their quality checklist that ensures that people are accurately informed about a choice to not seek treatment.

Indexed as

health misinformationinternet accuracysurgery recommendationsuntreated conditionsupper extremity

Identifiers

PMID39989888
PMCPMC11846101

What OpenQuestion holds

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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.