Evidence map›Paper›PMID 36461104›Full record

ArticleTrials2022

Predictors of participants' retention-socioeconomic factors or nonadherence: insights from a urological clinical prospective study.

Allison J Wheeler, Harshit Garg, Dharam Kaushik, Ahmed Mansour, Deepak Pruthi, Michael A Liss

Abstract read
In one paragraph

Article in Trials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Trends in publication and levels of social determinants of health reporting inJournal of clinical and translational science · 2024
    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

6 authors.

Allison J WheelerDepartment of Urology, University of Texas Health San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.
Harshit GargDepartment of Urology, University of Texas Health San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.ORCID http://orcid.org/0000-0002-4762-2523
Dharam KaushikDepartment of Urology, University of Texas Health San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.
Ahmed MansourDepartment of Urology, University of Texas Health San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.
Deepak PruthiDepartment of Urology, University of Texas Health San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.
Michael A LissDepartment of Urology, University of Texas Health San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA. liss@uthscsa.edu.

Funding

DOD Prostate Cancer Research Program W81XWH-15-1-0441
6 · The paper itself

Abstract

backgroundTo investigate various patient-level variables, specifically socioeconomic status, as risk factors for withdrawal in a recently completed clinical study. We specifically investigated a non-interventional prospective study assessing the role of novel imaging as a biomarker for cancer upgradation in prostate cancer for this objective.

methodsIn this retrospective analysis, we assessed the association between various patient-level factors including clinic-demographic factors, socioeconomic status, and the number of non-adherences with the participants' retention or withdrawal from the study. For socioeconomic status (SES), we used the zip code-based Economic Innovation Group Distressed Community Index (DCI) which classifies into five even distress tiers: prosperous, comfortable, mid-tier, at-risk, or distressed. Low SES was defined as those with a DCI Distress tier of at-risk or distressed. We compared values between the two retention and withdrawal groups using t-test, chi-square test, and logistic regression analysis.

resultsOf 273 men screened, 123 men were enrolled. Among them, 86.2% (106/123) retained through the study whereas 13.8% (17/123) withdrew from the study. The mean (SD) age was 64 (6.4) years. Overall, 31.7% (39/123) were Hispanics and 24.3% (30/123) were African Americans. The median (IQR) DCI score was 34 (10.3, 68.1) and 30.8% (38/123) of patients belonged to low SES. The median DCI score in participants who retained in the study was statistically similar to those who withdrew from the study (p=0.4). Neither the DCI tiers (p=0.7) nor the low SES (p=0.9) were associated with participants' retention or withdrawal of the study. In terms of non-adherence, all participants in the withdrawn group had at least one non-adherent event compared to 48.1% in the retained group (p<0.001). Repetitive non-adherence was significantly higher in participants who withdrew from the study vs those who retained in the study [88.2% vs 16.9%, p <0.001]. On multivariate logistic regression analysis, the number of non-adherences (OR=12.5, p<0.001) and not DCI (OR=0.99, p=0.7) appeared to be an independent predictor for participants' retention or withdrawal from the study.

conclusionsExpanding diverse inclusion and limiting withdrawal with real-time non-adherence monitoring will lead to more efficient clinical research and greater generalizability of results.

Indexed as

IncomeHumansMaleMiddle AgedProspective StudiesRetrospective StudiesSocioeconomic FactorsClinical trialsHumansSocioeconomic factorsSubject retention

Identifiers

PMID36461104
PMCPMC9716754

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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.