Evidence map›Paper›PMID 37468742›Full record

SynthesisJournal of racial and ethnic health disparities2024

Do Tobacco Treatment Trials Address Disparities in Smoking Outcomes Among Black and Hispanic Cancer Patients? A Systematic Review of Smoking Cessation Interventions for Black and Hispanic Patients Diagnosed with Cancer.

Giselle K Perez, Julia T Rabin, Megha Tandon, Nicole M Strauss, Kelly Irwin, Lisa Philpotts, Jamie Ostroff, Elyse R Park

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Journal of racial and ethnic health disparities, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 23% 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, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Representation of race and ethnicity among cancer survivors in trials of cognitive behavioral therapy for insomnia (CBT-I): A systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Pooled it
  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

8 authors at 4 institutions in 1 country.

Giselle K PerezHarvard Medical School/Massachusetts General Hospital, Boston, MA, USA. gperez@mgh.harvard.edu.ORCID 0000-0002-7524-4961
Julia T RabinDepartment of Psychology, University of Cincinnati, Cincinnati, OH, USA.
Megha TandonTufts University, Medford, MA, USA.
Nicole M StraussBamboo Health, Boston, MA, USA.
Kelly IrwinHarvard Medical School/Massachusetts General Hospital, Boston, MA, USA.
Lisa PhilpottsHarvard Medical School/Massachusetts General Hospital, Boston, MA, USA.
Jamie OstroffMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Elyse R ParkHarvard Medical School/Massachusetts General Hospital, Boston, MA, USA.
Harvard University · USMemorial Sloan Kettering Cancer Center · USTufts University · USUniversity of Cincinnati · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Integrating Tobacco Treatment into Cancer CareR01CA166147 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI PARK, ELYSE R. · 2012 to 2016
$3.6M
Building Resiliency Among Survivors of Cancers Diagnosed During Adolescence and Young Adulthood (AYAs): A Relaxation Response Resiliency Program for AYAs (3RP-AYA)K07CA211955 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI PEREZ-LOUGEE, GISELLE KATIRIA · 2017 to 2021
$820k
National Institute of Cancer GKPNCI NIH HHS 3R01CA166147 - 02S1NCI NIH HHS K07 CA211955NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA166147
6 · The paper itself

Abstract

objectiveTo characterize the representation of Black and Hispanic cancer patients in tobacco treatment trials, and to offer recommendations for future research.

methodsWe conducted two systematic searches of the literature (2018, 2021) using 5 databases (MEDLINE via EBSCO, Pubmed, PsycInfo, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Excerpta Medica Database (EMBASE)) to examine the prevalence of tobacco trials that included Black or Hispanic cancer patients. Two coders independently screened all articles at title, abstract, and full-text to identify eligible trials. Information about the proportion of Black and Hispanic patients included, trial design features, and whether the authors analyzed outcomes for Black and Hispanic patients were documented.

resultsOf 4682 identified studies, only 10 published trials included and reported on the rates of Black or Hispanic cancer patients enrolled in their tobacco trial. The proportion of enrolled Black cancer patients ranged from 2 to 55.6%. Only our studies documented enrollment rates for Hispanics, and rates were less than 6%. None of the studies offered strategies to promote or the accrual of Black or Hispanic patients. DISCUSSION: There remains a large gap in the literature regarding the reach and efficacy of tobacco treatment for Black and Hispanic cancer patients. Black and Hispanic cancer patients remain largely under-represented in tobacco cessation trials, limiting the applicability of existing, evidence-based treatments. To optimize intervention generalizability, future studies should emphasize the targeted recruitment and engagement of these patients in tobacco trials.

Indexed as

Black or African AmericanHealthcare DisparitiesHispanic or LatinoNeoplasmsSmoking CessationClinical Trials as TopicHumansSmokingCancer disparitiesClinical trial participationTobacco and healthTobacco treatment

Identifiers

PMID37468742
PMCPMC11236890
OpenAlexW4384817630

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.