Evidence map›Paper›PMID 31448959›Full record

ArticleEthnicity & health2022

Understanding cognitive and emotional illness representations of South Asian head and neck cancer survivors: a qualitative study.

Smita C Banerjee, Marlene Camacho-Rivera, Noshin Haque, Lisa Flynn, John Thomas, Philip Smith, Christine Sheffer, Jamie S Ostroff

Open access · greenAbstract read
In one paragraph

Article in Ethnicity & health, 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
2.1field-weighted citation impact, top 10% 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, 7 citations in OpenAlex.

  1. Review
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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

8 authors at 4 institutions in 1 country.

Smita C BanerjeeDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Marlene Camacho-RiveraDepartment of Community Health Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.
Noshin HaqueDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Lisa FlynnDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
John ThomasDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Philip SmithSchool of Medicine, City University of New York, New York, NY, USA.
Christine ShefferDepartment of Health Behavior, Roswell Park Cancer Institute, Buffalo, NY, USA.ORCID 0000-0002-3741-5774
Jamie S OstroffMemorial Sloan-Kettering Cancer Center, New York, NY, USA.ORCID 0000-0003-2671-5680
Memorial Sloan Kettering Cancer Center · USCity University of New York · USRoswell Park Comprehensive Cancer Center · USSUNY Downstate Health Sciences University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Psychosocial Palliative & Community Research in CancerT32CA009461 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI JENNIFER L HAY, Jamie S. Ostroff · 1985 to 2026
$10.1M
TREND PARTNERSHIP ADMINISTRATIVE COREP20CA192991 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI OSTROFF, JAMIE S. · 2014 to 2017
$852k
The TREND Partnership: Translational Research Education and Training to Eliminate Tobacco Disparities (1/2)P20CA192993 · NCI · CITY COLLEGE OF NEW YORK · PI SHEFFER, CHRISTINE ELIZABETH · 2014 to 2017
$766k
NCI NIH HHS P20 CA192991NCI NIH HHS P20 CA192993NCI NIH HHS P30 CA008748NCI NIH HHS T32 CA009461
6 · The paper itself

Abstract

objectivesHead and neck cancer (HNC) constitutes a substantial portion of the cancer burden worldwide, with over 550,000 new cases and over 300,000 deaths annually, with disproportionately high mortality rates in the developing countries. The large majority of HNCs are caused by tobacco use, and synergistic effects of tobacco and alcohol use. Using the Common-Sense Model (CSM) as a framework, this qualitative study sought to understand South Asian HNC survivors' cognitive and emotional representations of their cancer; and to assess if these representations differ by smokeless tobacco (SLT) vs. smoked tobacco use.

designIn-depth semi-structured interviews, conducted with South Asian HNC survivors (

resultsThe results of the study provide a deeper understanding of South Asian HNC survivor experiences with receiving a HNC diagnosis, delays in seeking treatment and related medical care, disagreement regarding smoked tobacco/SLT history as potential causes of cancer, strategies to cure the cancer or prevent recurrence, enduring physical and psycho-social consequences of treatment, and emotional impact of the cancer experience. Three key implications emerged: (a) the utility of narratives as a method of eliciting HNC survivor experience to understand patient experiences and concerns; (b) the potential for public health practitioners to harness patients' voices and the power of storytelling for developing campaigns about public awareness of SLT use, providing information and support to SLT users, and encouraging SLT quitting resources; and (c) the importance of providing clear, personalized and culturally sensitive education regarding the risks of SLT use.

conclusionsThis study underscores the significance of offering tailored tobacco cessation services to South Asian HNC survivors, and to help inform supportive models of care for others.

Indexed as

Head and Neck NeoplasmsSurvivorsAsian PeopleCognitionHumansQualitative ResearchUnited StatesCommon sense modelhead and neck cancerillness representationSouth Asiantobacco use

Identifiers

PMID31448959
PMCPMC7524586
OpenAlexW2970949997

What OpenQuestion holds

Textmetadata
LicenceTDM
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.