Evidence map›Paper›PMID 37395844›Full record

ArticleJournal of cancer research and clinical oncology2023

Demographic disparities in trend of gynecological cancer in the United States.

Sishir Doddi, Oscar Salichs, Mahika Mushuni, Siddharth Kunte

Abstract read
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Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Sishir DoddiUniversity of Toledo College of Medicine, Toledo, OH, USA. sishir.doddi@utoledo.edu.
Oscar SalichsUniversity of Toledo College of Medicine, Toledo, OH, USA.
Mahika MushuniViterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
Siddharth KunteThe Toledo Clinic, Toledo, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to analyze the age-adjusted mortality rates (AAMR) per 100,000 for gynecological cancer-related deaths in the United States from 1999 to 2020. We compare trends by different demographic groups to identify significant disparities in these rates between populations within the United States.

methodsThe National Cancer Institute's Joinpoint Regression Program was used to calculate the average Annual Percent Change (AAPC) to identify trends over the study period using data from the CDC Wonder database, which comprises of demographic information for all causes of mortality in the United States from death certificate records.

resultsFrom 1999 to 2020, the African American population exhibited a significant downtrend (AAPC, -0.8% [95% CI, - 1.0% to - 0.6%]; p < 0.01), while the white population also demonstrated a notable downtrend (AAPC, - 1.0% [95% CI, - 1.2% to - 0.8%]; p < 0.01). Similarly, the AI/AN population experienced a decline (AAPC, - 1.6% [95% CI, - 2.4% to - 0.9%]; p < 0.01). The AAPI population did not observe a significant trend (AAPC, - 0.2% [95% CI, - 0.5% to 0.5%]; p = 0.127). In addition, the Hispanic/LatinX population experiencing a lower rate of decline compared to non-Hispanics (p = 0.025).

conclusionsWe found that the AI/AN population to observe the greatest downtrend in mortality rates, while the AAPI observed the least and that the African American population observed a smaller downtrend when compared to the white population. In addition, the Hispanic/LatinX community are significantly being underserved by developing therapies compared to the non-Hispanic/LatinX population. These findings provide valuable insights into the impact of gynecological cancers on specific demographic groups, emphasizing the urgency of targeted interventions to address disparities and improve outcomes.

Indexed as

NeoplasmsDatabases, FactualHealth Status DisparitiesHumansUnited StatesDisparitiesGynecological cancersMortality rateMortality trends

Identifiers

PMID37395844
PMCPMC11797327

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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.