Evidence map›Paper›PMID 40344011›Full record

ArticlePloS one2025

Evolving demographics of eligible patient population can impact enrollment of a biomarker clinical study.

Sara A Vettleson-Trutza, Vanessa K Pazdernik, Joseph H Skalski, Melissa R Snyder, Yifei K Yang

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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.

Sara A Vettleson-TrutzaDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America.
Vanessa K PazdernikDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, United States of America.
Joseph H SkalskiDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, United States of America.
Melissa R SnyderDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America.
Yifei K YangDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America.ORCID https://orcid.org/0000-0001-9817-484X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a prospective clinical study to better understand how biological markers can improve diagnosis of and prognosis for asthmatic and atopic conditions, we contacted over 3500 eligible patients and observed noticeable differences in the range of their likelihood to enroll based on gender (3.8-13.4%), race and ethnicity (4.8-29.8%), and distance to study site (1.1-29.2%). Both the eligible patients and enrolled participants exhibited a more diverse racial and ethnic composition compared to local population demographics. Based on the eligible patients that the study team contacted ("eligible patients", n = 3648) and those who agreed to enroll ("enrolled participants", n = 454), we analyzed the gender, age, race and ethnicity composition of the groups, together with their proximity to the study site. Living close to the study site was the largest contributor to a patient's decision to enroll for both adults (odds ratio OR: 2.26, 95% confidence interval CI: 1.64-3.15, p < 0.001) and children (OR: 2.59, 95% CI: 1.67-4.41, p < 0.001). We also observed that patients from White and non-Hispanic racial and ethnic background were more likely to participate in the study among both pediatric (OR: 1.51, CI: 0.92-2.62, p = 0.122) and adult patients (OR: 1.81, CI: 1.18-2.89, p = 0.009). Eligible patients of female gender were also more likely to enroll in both adult (OR: 1.53, CI: 1.16-2.05, p = 0.003) and pediatric groups (OR: 2.14, CI: 1.42-3.22, p < 0.001). Overall, the pediatric patients (18 years old or younger) were much less willing to participate in the clinical biomarker study. Nonetheless, as they age, the enrollment likelihood increased accordingly (5 years OR: 1.71, CI, 1.32-2.21, p < 0.001). The eligible patient population of the study reflected the evolving demographics and different disease prevalence for asthma and other allergic diseases in adult and pediatric groups. These factors in turn influenced the composition of the enrolled participants.

Indexed as

AsthmaBiomarkersPatient SelectionAdolescentAdultAgedAmerican Indian or Alaska NativeBlack or African AmericanChildChild, PreschoolDemographyEthnicityFemaleHispanic or LatinoHumansIowaBiomarkers

Identifiers

PMID40344011
PMCPMC12063902

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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.