Evidence map›Paper›PMID 38975445›Full record

ArticleCureus2024

Addressing the Gap: Racial Disparities and Public Health Strategies in the Epidemiology of Gastrointestinal Stromal Tumors.

Rajmohan Rammohan, Melvin Joy, Sai Greeshma Magam, Wing Hang Lau, Dilman Natt, Abhishek Tadikonda, Sai Reshma Magam, Leeza Pannikodu, Jiten Desai, Rucha Jiyani and 6 more

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Rajmohan RammohanGastroenterology, Nassau University Medical Center, East Meadow, USA.
Melvin JoyInternal Medicine, Nassau University Medical Center, East Meadow, USA.
Sai Greeshma MagamInternal Medicine, Nassau University Medical Center, East Meadow, USA.
Wing Hang LauInternal Medicine, Nassau University Medical Center, East Meadow, USA.
Dilman NattInternal Medicine, Nassau University Medical Center, East Meadow, USA.
Abhishek TadikondaInternal Medicine, Nassau University Medical Center, East Meadow, USA.
Sai Reshma MagamInternal Medicine, Nassau University Medical Center, East Meadow, USA.
Leeza PannikoduInternal Medicine, Nassau University Medical Center, East Meadow, USA.
Jiten DesaiInternal Medicine, Nassau University Medical Center, East Meadow, USA.
Rucha JiyaniGastroenterology, Nassau University Medical Center, East Meadow, USA.
Saher SheikhInternal Medicine, Nassau University Medical Center, East Meadow, USA.
Sandra GomezGastroenterology and Hepatology, Nassau University Medical Center, East Meadow, USA.
Susan BuntingInternal Medicine, Nassau University Medical Center, East Meadow, USA.
Prachi AnandRheumatology, Nassau University Medical Center, East Meadow, USA.
Krishnaiyer SubramaniGastroenterology, Nassau University Medical Center, East Meadow, USA.
Paul MustacchiaGastroenterology and Hepatology, Nassau University Medical Center, East Meadow, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Gastrointestinal stromal tumors (GISTs) represent the most common mesenchymal neoplasms of the gastrointestinal tract, arising from the interstitial cells of Cajal. These tumors bridge the nervous system and muscular layers of the gastrointestinal tract, playing a crucial role in the digestive process. The incidence of GISTs demonstrates notable variations across different racial and ethnic groups, underscoring the need for in-depth analysis to understand the interplay of genetic, environmental, and socioeconomic factors behind these disparities. Linear regression analysis is a pivotal statistical tool in such epidemiological studies, offering insights into the temporal dynamics of disease incidence and the impact of public health interventions. Methodology This investigation employed a detailed dataset from 2009 to 2020, documenting GIST incidences across Asian, African American, Hispanic, and White populations. A meticulous preprocessing routine prepared the dataset for analysis, which involved data cleaning, normalization of racial terminologies, and aggregation by year and race. Linear regression models and Pearson correlation coefficients were applied to analyze trends and correlations in GIST incidences across the different racial groups, emphasizing an understanding of temporal patterns and racial disparities in disease incidence. Results The study analyzed GIST cases among four racial groups, revealing a male predominance (53.19%) and an even distribution of cases across racial categories: Whites (27.66%), Hispanics (25.53%), African Americans (24.47%), and Asians (22.34%). Hypertension was the most common comorbidity (32.98%), followed by heart failure (28.72%). The linear regression analysis for Asians showed a decreasing trend in GIST incidences with a slope of -0.576, an R-squared value of 0.717, and a non-significant p-value of 0.153. A significant increasing trend was observed for Whites, with a slope of 0.581, an R-squared value of 0.971, and a p-value of 0.002. African Americans exhibited a moderate positive slope of 0.277 with an R-squared value of 0.470 and a p-value of 0.201, indicating a non-significant increase. Hispanics showed negligible change over time with a slope of -0.095, an R-squared value of 0.009, and a p-value of 0.879, suggesting no significant trend. Conclusions This study examines GIST incidences across racial groups, revealing significant disparities. Whites show an increasing trend (p = 0.002), while Asians display a decreasing trend (p = 0.153), with stable rates in African Americans and Hispanics. Such disparities suggest a complex interplay of genetics, environment, and socioeconomic factors, highlighting the need for targeted research and interventions that address these differences and the systemic inequalities influencing GIST outcomes.

Indexed as

gisthealthcare equityhealthcare gaplinear regressionlinear regression analysispearson correlationpearson correlation coefficientracerace inequities

Identifiers

PMID38975445
PMCPMC11226192

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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.