Evidence map›Paper›PMID 38940707›Full record

ArticleSarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG2024

Association of Area Deprivation Index with Adherence to Proposed Regimen in Patients with Sarcoidosis in Detroit, Michigan.

Medha R Cherabuddi, Benjamin Goodman, Asem Ayyad, Dina A Almajali, Owais Nadeem, Patrick Bradley, Cori Russell, Daniel Ouellette

Abstract read
In one paragraph

Article in Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG, 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. Article
  3. Race and class in big data.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 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

8 authors.

Medha R CherabuddiDepartment of Internal Medicine, Henry Ford Hospital, Detroit, MI, USA.
Benjamin GoodmanDepartment of Internal Medicine, Henry Ford Hospital, Detroit, MI, USA.
Asem AyyadDepartment of Internal Medicine, Henry Ford Hospital, Detroit, MI, USA.
Dina A AlmajaliDepartment of Internal Medicine, Henry Ford Hospital, Detroit, MI, USA.
Owais NadeemDepartment of Pulmonary and Critical Care Medicine, Henry Ford Hospital, Detroit, MI, USA.
Patrick BradleyDepartment of Pulmonary and Critical Care Medicine, Henry Ford Hospital, Detroit, MI, USA.
Cori Russell3Department of Cardiovascular Medicine, Henry Ford Hospital, Detroit, MI, USA.
Daniel OuelletteDepartment of Pulmonary and Critical Care Medicine, Henry Ford Hospital, Detroit, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimSocial predictors affect severity of sarcoidosis, with Black patients, older individuals, those with lower income, and those without insurance having greater severity. This study aimed to explore potential disparities affecting access to care in sarcoidosis patients with a primary focus on metrics such as area deprivation index (ADI) and its association with adherence to the proposed regimen.

methodsA retrospective chart review study of all patients seen in pulmonary clinics at a large urban tertiary care center over 2 years with sarcoidosis patients identified with International Classification of Diseases diagnosis code D86. Data collected included age, race, sex, ADI, insurance, online patient portal usage, chest x-rays, pulmonary function tests, missed visits, hospitalizations, positive biopsy, communication and visits around bronchoscopy. Categorical variables were described using frequency and percentage. Numerical variables were described using median, mean and standard deviation. Statistical analysis included chi-square test, two-sample T-test and Wilcoxon rank sum test. Multivariate logistic regression analysis was performed to model independent association with 12 month no-show occurrence as a metric of adherence to the proposed regimen.

resultsAmong sarcoidosis patients (N = 788), univariate models showed the presence of active online patient portal use among younger patients (58.6 years with portal vs. 65.1 years without portal, p < 0.001), those with lower ADI (73 with portal vs. 92 without portal, p < 0.001) and with commercial insurance (48.5% with portal vs. 20.7% without portal, p < 0.001); more x-rays (45.6% with x-rays vs. 36.6% without x-rays, p = 0.018) and hospitalizations (50.3% with hospitalizations vs. 36.2% without hospitalizations, p < 0.001) in Medicare patients. Sarcoidosis patients with positive biopsies on file from 2013-2023 were more likely to be male (44.19% with positive biopsy vs. 33.91% without positive biopsy, p = 0.006), White (36.29% with positive biopsy vs. 22.9% without positive biopsy, p < 0.001) or other races (3.23% with positive biopsy vs. 2.25% without positive biopsy, p < 0.001), younger (55.8 years with positive biopsy vs. 61.7 years without positive biopsy, p < 0.001) and belonged to lower national ADI ranks (73 with positive biopsy vs. 80 without biopsy, p = 0.041). A multivariate analysis was done with those variables found to be significant in the univariate analyses, which revealed that higher ADI national was associated with failure to adhere to the proposed regimen.

conclusionsWe identified intricate patterns of sociodemographic variables affecting access to care in sarcoidosis patients, especially higher ADI national associated with failure to adhere to the proposed regimen, raising concerns for potential healthcare barriers. Understanding these barriers is vital for equitable high-quality care, assisting in timely and efficient management of the patient's disease.

Identifiers

PMID38940707
PMCPMC11275538

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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.