Evidence map›Paper›PMID 34964284›Full record

ArticleCancer medicine2022

Impact of the shared decision-making process on lung cancer screening decisions.

Naomi Q P Tan, Shawn P E Nishi, Lisa M Lowenstein, Tito R Mendoza, Maria A Lopez-Olivo, Laura C Crocker, Karen R Sepucha, Robert J Volk

Abstract read
In one paragraph

Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Trial
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Updates in Lung Cancer Screening: A Decade of Evidence.Seminars in respiratory and critical care medicine · 2025
    Review
  9. Review
  10. Article
  11. Article
  12. 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.

Naomi Q P TanDepartment of Health Services Research, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0003-0045-6414
Shawn P E NishiDepartment of Internal Medicine, Division of Pulmonary Critical Care and Sleep Medicine, The University of Texas Medical Branch, Galveston, Texas, USA.ORCID 0000-0002-7510-2664
Lisa M LowensteinDepartment of Health Services Research, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0003-3481-5980
Tito R MendozaDepartment of Symptom Research, Division of Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0001-8122-5233
Maria A Lopez-OlivoDepartment of Health Services Research, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0002-5165-8393
Laura C CrockerDepartment of Health Services Research, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0001-5789-439X
Karen R SepuchaDivision of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-3762-3880
Robert J VolkDepartment of Health Services Research, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0001-8811-5854

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Clonally Expanded Mutations Identify Cancer Precursors in Chronic InflammationR01CA160674 · NCI · UNIVERSITY OF WASHINGTON · PI BRENTNALL, TERESA A, LOEB, LAWRENCE A · 2012 to 2016
$2.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundProfessional organizations recommend the use of shared decision-making (SDM) in supporting patients' decisions about lung cancer screening (LCS). The objective of this study was to assess the impact of the SDM process on patient knowledge about LCS, decisional conflict, intentions to adhere to screening recommendations, and its role in how the patient made the final decision.

methodsThis study surveyed patients screened for lung cancer within 12 months of the survey, recruited from two academic tertiary care centers in the South Central Region of the U.S. (May to July 2018).

resultsTwo hundred and sixty-four patients completed the survey (87.9% White, 52% male, and mean age of 64.81). Higher SDM process scores (which indicates a better SDM process reported by patients) were significantly associated with greater knowledge of LCS (b = 0.17 p < 0.01). Higher SDM process scores were associated with less decisional conflict about their screening choice (b = 0.45, p < 0.001), greater intentions to make the same decision again (OR = 1.42, 95% CI = [1.06-1.89]), and greater intentions to undergo LCS again (OR = 1.32, 95% CI = [1.08-1.62]). The SDM process score was not associated with patients' report of whether or not they shared the final decision with the healthcare provider (OR = 1.07, 95% CI = [0.85-1.35]). CONCLUSION(S): This study found that a better SDM process was associated with better affective-cognitive outcomes among patients screened for lung cancer.

Indexed as

Early Detection of CancerLung NeoplasmsDecision MakingDecision Making, SharedFemaleHumansMaleMass ScreeningMiddle AgedSurveys and Questionnairescancer screeningdecision aidsdecision making, sharedimplementation sciencelung cancer

Identifiers

PMID34964284
PMCPMC8817098

What OpenQuestion holds

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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.