Evidence map›Paper›PMID 30349218›Full record

SynthesisClinical interventions in aging2018

Screening mammography use in older women according to health status: a systematic review and meta-analysis.

Joshua Demb, Tomi Akinyemiju, Isabel Allen, Tracy Onega, Robert A Hiatt, Dejana Braithwaite

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Clinical interventions in aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The Impact of Morbidity and Disability on Attendance at Organized Breast Cancer-Screening Programs: A Systematic Review and Meta-Analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
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  11. Impact of Risk-Stratified Therapy on Health Status in Survivors of Childhood Acute Lymphoblastic Leukemia: A Report from the Childhood Cancer Survivor Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
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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

6 authors.

Joshua DembDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
Tomi AkinyemijuDepartment of Epidemiology, University of Kentucky, Lexington, KY, USA.
Isabel AllenDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
Tracy OnegaDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.
Robert A HiattDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
Dejana BraithwaiteDepartment of Oncology, Georgetown University School of Medicine, Washington, DC, USA, dejana.braithwaite@georgetown.edu.

Funding

COMORBIDITY AND SCREENING OUTCOMES AMONG OLDER WOMEN UNDERGOING MAMMOGRAPHYR01CA207361 · NCI · UNIVERSITY OF FLORIDA · PI BRAITHWAITE, DEJANA K · 2017 to 2020
$2.3M
NCI NIH HHS R01 CA207361
6 · The paper itself

Abstract

backgroundThe extent to which screening mammography (SM) recommendations in older women incorporate life expectancy factors is not well established.

objectiveThe objective of this review was to evaluate evidence on SM utilization in older women by life expectancy factors. DATA SOURCES: We searched Medline, Embase and Web of Science from January 1991 to March 2016. STUDY SELECTION: We included studies examining SM utilization in women ages ≥65 years that measured life expectancy using comorbidity, functional limitations or health or prognostic status. DATA EXTRACTION AND SYNTHESIS: ORs and 95% CIs were extracted and grouped by life expectancy category. Findings were aggregated into pooled ORs and 95% CIs and meta-analyzed by life expectancy category. MAIN OUTCOMES AND MEASURES: The primary outcome was SM utilization within the last 5 years. Life expectancy factors included number of comorbidities, Charlson Comorbidity Index (CCI), activities of daily living, instrumental activities of daily living, self-reported health status and 5-year prognostic indices.

resultsOf 2,606 potential titles, we identified 25 meeting the inclusion criteria (comorbidity: eight studies, functional status: 11 studies and health/prognostic status: 13 studies). Women with higher CCI scores had decreased SM utilization (pooled OR: 0.75, 95% CI: 0.67-0.85), but increased absolute number of comorbidities were weakly associated with increased SM utilization (pooled OR: 1.17, 95% CI: 1.00-1.36). Women with more functional limitations had lower SM use odds than women with no limitations (pooled OR: 0.72, 95% CI: 0.62-0.83). Screening utilization odds were lower among women with poor vs excellent health (pooled OR: 0.85, 95% CI: 0.74-0.96).

conclusionGreater CCI score, functional limitations and lower perceived health were associated with decreased SM use, whereas higher absolute number of comorbidities was associated with increased SM use. SM guidelines should consider these factors to improve assessments of potential benefits and harms in older women.

Indexed as

Life ExpectancyActivities of Daily LivingAgedAged, 80 and overBreast NeoplasmsComorbidityEarly Detection of CancerFemaleHealth StatusHumansMammographyPractice Guidelines as Topiccomorbidityfunctional limitationshealth statusmeta-analysisscreening mammography

Identifiers

PMID30349218
PMCPMC6188129

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.