Evidence map›Paper›PMID 36291843›Full record

ArticleCancers2022

Patterns of Care and Data Quality in a National Registry of Black and White Patients with Merkel Cell Carcinoma.

Abbas Rattani, Jeremy Gaskins, Grant McKenzie, Virginia Kate Scharf, Kristy Broman, Maria Pisu, Ashley Holder, Neal Dunlap, David Schwartz, Mehran B Yusuf

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 40% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 4 institutions in 1 country.

Abbas RattaniDepartment of Radiation Oncology, Tufts University Medical Center, Boston, MA 02111, USA.
Jeremy GaskinsDepartment of Bioinformatics and Biostatistics, School of Public Health and Information Science, University of Louisville, Louisville, KY 40202, USA.ORCID 0000-0002-6284-3404
Grant McKenzieDepartment of Radiation Oncology, Brown Cancer Center, University of Louisville School of Medicine, Louisville, KY 40202, USA.ORCID 0000-0002-6737-3966
Virginia Kate ScharfSchool of Medicine, University of Louisville, Louisville, KY 40202, USA.
Kristy BromanDepartment of Surgery, Division of Surgical Oncology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Maria PisuDepartment of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Ashley HolderDepartment of Surgery, Division of Surgical Oncology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.ORCID 0000-0002-6506-5871
Neal DunlapDepartment of Radiation Oncology, Brown Cancer Center, University of Louisville School of Medicine, Louisville, KY 40202, USA.
David SchwartzDepartment of Radiation Oncology, University of Tennessee Health Science Center, Memphis, TN 38163, USA.
Mehran B YusufDepartment of Radiation Oncology, O'Neal Comprehensive Cancer Center, School of Medicine University of Alabama at Birmingham, Birmingham, AL 35294, USA.
University of Alabama at Birmingham · USUniversity of Louisville · USTufts University · USUniversity of Tennessee Health Science Center · US

Funding

UAB Center for Clinical and Translational Science (CCTS)KL2TR001419 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2015 to 2018
$2.5M
NCATS NIH HHS KL2 TR001419
6 · The paper itself

Abstract

Merkel Cell Carcinoma (MCC) is a rare cancer most commonly affecting White patients; less is known for Black patients. We aim to report presentation, treatment, and quality of registry data by race with a secondary endpoint of overall survival. We conducted a retrospective cohort analysis between 2006−2017 via the National Cancer Database of Black and White MCC patients with and without known staging information. Multivariable logistic, proportional odds logistic, and baseline category logistic regression models were used for our primary endpoint. Multivariable Cox regression was used to interrogate overall survival. Multiple imputation was used to mitigate missing data bias. 34,503 patients with MCC were included (2566 Black patients). Black patients were younger (median age 52 vs. 72, p < 0.0001), had higher rates of immunosuppression (28% vs. 14%, p = 0.0062), and were more likely to be diagnosed at a higher stage (proportional OR = 1.41, 95% CI 1.25−1.59). No differences were noted by race across receipt of definitive resection (DR), though Black patients did have longer time from diagnosis to DR. Black patients were less likely to receive adjuvant radiation. Black patients were more likely to have missing cancer stage (OR = 1.69, CI 1.52−1.88). Black patients had decreased adjusted risk of mortality (HR 0.73, 0.65−0.81). Given the importance of registry analyses for rare cancers, efforts are needed to ensure complete data coding. Paramount to ensuring equitable access to optimal care for all is the recognition that MCC can occur in Black patients.

Indexed as

epidemiologyMerkel Cell Carcinomarace

Identifiers

PMID36291843
PMCPMC9600131
OpenAlexW4306367244

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.