Evidence map›Paper›PMID 38918025›Full record

ArticleRespiratory care2024

Perspectives on Using Race in Pulmonary Function Testing: A National Survey Fellows and Program Directors.

Debasree Banerjee, Sara Aijaz, Nicholas J Nassikas, Parvati Singh, Sneha Lakshman, Chelsea Boyd, Quincy Brown, Amy Mathew, Rochelle K Rosen, Ryan Lantini and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Respiratory care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Debasree BanerjeeDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Brown University, Providence, Rhode Island. debasree_banerjee@brown.edu.
Sara AijazDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Brown University, Providence, Rhode Island.
Nicholas J NassikasDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Parvati SinghDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Yale University School of Medicine, New Haven, Connecticut.
Sneha LakshmanDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Brown University, Providence, Rhode Island.
Chelsea BoydDepartment of Medicine, Brown University, Providence, Rhode Island.
Quincy BrownDepartment of Medicine, Brown University, Providence, Rhode Island.
Amy MathewDepartment of Medicine, Brown University, Providence, Rhode Island.
Rochelle K RosenCenter for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, Rhode Island.
Ryan LantiniCenter for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, Rhode Island.
Sarah B AndreaOHSU-PSU School of Public Health, Portland State University, Portland, Oregon.
Stephen R WalshDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Brown University, Providence, Rhode Island.
Eric J GartmanDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Brown University, Providence, Rhode Island.
Andrew LevinsonDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Brown University, Providence, Rhode Island.
Gerardo CarinoDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Brown University, Providence, Rhode Island.
Lundy BraunPathology and Laboratory Medicine and Africana Studies, Brown University, Providence, Rhode Island.

Funding

Tracking and Evaluation CoreU54GM115677 · NIGMS · BROWN UNIVERSITY · PI ROUNDS, SHARON IRENE SMITH · 2016 to 2025
$45.0M
NIGMS NIH HHS U54 GM115677
6 · The paper itself

Abstract

backgroundPulmonary function tests (PFTs) have historically used race-specific prediction equations. The recent American Thoracic Society guidelines recommend the use of a race-neutral approach in prediction equations. There are limited studies centering the opinions of practicing pulmonologists on the use of race in spirometry. Provider opinion will impact adoption of the new guideline. The aim of this study was to ascertain the beliefs of academic pulmonary and critical care providers regarding the use of race as a variable in spirometry prediction equations.

methodsWe report data from 151 open-ended responses from a voluntary, nationwide survey (distributed by the Association of Pulmonary Critical Care Medicine Program Directors) of academic pulmonary and critical care providers regarding the use of race in PFT prediction equations. Responses were coded using inductive and deductive methods, and a thematic content analysis was conducted.

resultsThere was a balanced distribution of opinions among respondents supporting, opposing, or being unsure about the incorporation of race in spirometry prediction equations. Responses demonstrated a wide array of understanding related to the concept and definition of race and its relationship to physiology.

conclusionsThere was no consensus among providers regarding the use of race in spirometry prediction equations. Concepts of race having biologic implications persist among pulmonary providers and will likely affect the uptake of the Global Lung Function Initiative per the American Thoracic Society guidelines.

Indexed as

Attitude of Health PersonnelRespiratory Function TestsSpirometryHumansPractice Guidelines as TopicPulmonary MedicinePulmonologistsRacial GroupsSurveys and QuestionnairesUnited Statesdiversityequitygraduate medical educationpulmonary function testracism

Identifiers

PMID38918025
PMCPMC11549632

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.