Evidence map›Paper›PMID 34597418›Full record

ArticleCancer2022

Identifying and describing cancer survivors: Implications for cancer survivorship research and clinical care.

Michelle Doose, Michelle A Mollica, Deanna J Attai, Shelley Fuld Nasso, Joanne W Elena, Paul B Jacobsen, Emily S Tonorezos, Larissa Nekhlyudov

Abstract read
In one paragraph

Article in Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Psychosocial interventions to improve quality of life in Hispanic cancer survivors: a meta-analysis.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Michelle DooseHealthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-5300-8562
Michelle A MollicaHealthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland.ORCID 0000-0001-8092-3013
Deanna J AttaiDepartment of Surgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.ORCID 0000-0002-1893-1183
Shelley Fuld NassoNational Coalition for Cancer Survivorship, Silver Spring, Maryland.
Joanne W ElenaEpidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland.
Paul B JacobsenHealthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-4427-8800
Emily S TonorezosOffice of Cancer Survivorship, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-1185-5210
Larissa NekhlyudovDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-6747-4209

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

backgroundGathering information directly from cancer survivors has advanced our understanding of the cancer survivorship experience. However, it is unknown whether surveys can distinguish important subgroups of cancer survivors. This study aimed to describe the current landscape of survey questions used to identify and describe cancer survivors in national cross-sectional studies.

methodsUsing publicly available databases, the authors identified national cross-sectional surveys used in the United States within the past 15 years that included a question on self-reported history of cancer. After abstracting questions and response items used to identify cancer survivors, they conducted a descriptive analysis.

resultsThe authors identified 14 national cross-sectional surveys, with half administered to the general population and the other half administered to cancer survivors. The most common question used to identify cancer survivors was "Have you ever been told by a doctor or other health professional that you had cancer?" Most surveys had questions asking participants to identify a single cancer type (n = 11), multiple prior cancer diagnoses or types (n = 11), and the time from diagnosis (n = 12). Treatment questions varied from active treatment status to specific treatments received. Questions addressing cancer stage (n = 2), subtypes (n = 1), metastatic status (n = 3), and recurrence (n = 4) were less frequently included.

conclusionsThere is no standard method for assessing self-reported cancer history, and this limits the ability to distinguish among potentially important subgroups of survivors. Future cross-sectional surveys that capture nuanced data elements, such as cancer types, stages/subtypes, metastatic/recurrent status, and treatments received, can help to fill important gaps in cancer survivorship research and clinical care.

Indexed as

Cancer SurvivorsNeoplasmsCross-Sectional StudiesHumansSurveys and QuestionnairesSurvivorsUnited Statescancer survivorscross-sectional studieshealth surveyssurveys and questionnaires

Identifiers

PMID34597418
PMCPMC8738118

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.