Evidence map›Paper›PMID 41957557›Full record

ArticleACR open rheumatology2026

Group-Based Medical Mistrust and Logistical Factors Influencing Rheumatology Clinical Trial Enrollment: A Single-Center Cross-Sectional Survey.

Andreina Martinez Paulino, Danny Jose Arias Diaz, Miles King, Asma Cheema, Shudan Wang, Valentin Marian, Richard Savel, Muznay Khawaja

Abstract read
In one paragraph

Article in ACR open rheumatology, 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

8 authors.

Andreina Martinez PaulinoRutgers University and Robert Wood Johnson Barnabas Health, Jersey City, New Jersey.ORCID https://orcid.org/0000-0003-3692-5040
Danny Jose Arias DiazRutgers University and Robert Wood Johnson Barnabas Health, Jersey City, New Jersey.
Miles KingAlbert Einstein College of Medicine, Bronx, New York.ORCID https://orcid.org/0000-0002-1373-2636
Asma CheemaMontefiore Medical Center, Bronx, New York.
Shudan WangAlbert Einstein College of Medicine, Bronx, New York.
Valentin MarianRutgers University and Robert Wood Johnson Barnabas Health, Jersey City, New Jersey.
Richard SavelRutgers University and Robert Wood Johnson Barnabas Health, Jersey City, New Jersey.
Muznay KhawajaRutgers University and Robert Wood Johnson Barnabas Health, Jersey City, New Jersey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine whether group-based medical mistrust predicts willingness to enroll in a rheumatology clinical trial and, among those unwilling, to identify logistical factors that most influence their decision.

methodsWe conducted a single-center, cross-sectional survey at an academic rheumatology clinic between November 2024 and February 2025. Adults (≥18 years) with physician-confirmed rheumatic disease completed the 12-item Group-Based Medical Mistrust Scale (GBMMS; range 12-60, higher = more mistrust), rated 11 logistical factors on a 7-point scale (1 = extremely unlikely to influence, 7 = extremely likely), and answered a yes or no item on trial willingness. We assessed GBMMS internal consistency, compared mean mistrust by willingness using Welch's t-test, and fit a univariable logistic regression with GBMMS predicting willingness. Among those unwilling, we ranked logistical factors by mean importance.

resultsForty-seven patients participated (79% women; mean age 49.2 ± 13.6 years); 66% reported willingness to enroll. Mean mistrust did not differ by willingness (willing 24.7 ± 11.6 vs unwilling 25.3 ± 13.4; t

conclusionGroup-based medical mistrust did not predict self-reported willingness to join a rheumatology clinical trial. Instead, expectation of concrete disease improvement and personal endorsement by one's treating rheumatologist emerged as the strongest drivers of participation. Recruitment strategies that emphasize realistic potential benefits, incorporate physician-delivered invitations, and address logistics may improve enrollment.

Identifiers

PMID41957557
PMCPMC13065490

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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.