Evidence map›Paper›PMID 29261826›Full record

ArticleJAMA surgery2018

Communication About the Probability of Cancer in Indeterminate Pulmonary Nodules.

Amelia W Maiga, Stephen A Deppen, Pierre P Massion, Carol Callaway-Lane, Rhonda Pinkerman, Robert S Dittus, Eric S Lambright, Jonathan C Nesbitt, Eric L Grogan

Open access · bronzeAbstract read
In one paragraph

Article in JAMA surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Rebuttal From Dr Kim et al.CHEST pulmonary · 2024
    Article
  4. Thyroid Cancer Risk Communication in Patients with Thyroid Nodules.Journal of cancer education : the official journal of the American Association for Cancer Education · 2023
    Article
  5. The Intervention Probability Curve: Modeling the Practical Application of Threshold-Guided Decision-Making, Evaluated in Lung, Prostate, and Ovarian Cancers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  6. Integrated Biomarkers for the Management of Indeterminate Pulmonary Nodules.American journal of respiratory and critical care medicine · 2021
    Article
  7. Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules.American journal of respiratory and critical care medicine · 2020
    Article
  8. Observational
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

9 authors at 3 institutions in 1 country.

Amelia W MaigaGeriatric Research Education and Clinical Center, Tennessee Valley Healthcare System, Nashville.
Stephen A DeppenGeriatric Research Education and Clinical Center, Tennessee Valley Healthcare System, Nashville.
Pierre P MassionDepartment of Medicine, Tennessee Valley Healthcare System, Nashville.
Carol Callaway-LaneDepartment of Medicine, Tennessee Valley Healthcare System, Nashville.
Rhonda PinkermanDepartment of Surgery, Tennessee Valley Healthcare System, Nashville.
Robert S DittusGeriatric Research Education and Clinical Center, Tennessee Valley Healthcare System, Nashville.
Eric S LambrightDepartment of Surgery, Tennessee Valley Healthcare System, Nashville.
Jonathan C NesbittDepartment of Surgery, Tennessee Valley Healthcare System, Nashville.
Eric L GroganDepartment of Surgery, Tennessee Valley Healthcare System, Nashville.
VA Tennessee Valley Healthcare System · USVanderbilt University Medical Center · USGeriatric Research Education and Clinical Center · US

Funding

Validation of Biomarkers of Risk for the Early Detection of Lung CancerU01CA152662 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DEPPEN, STEPHEN, GROGAN, ERIC L · 2010 to 2025
$12.8M
Non-invasive evaluation of indeterminate pulmonary nodulesU01CA186145 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MASSION, PIERRE P. · 2015 to 2019
$2.0M
Decreasing Unnecessary Invasive Lung Cancer Diagnostic ProceduresIK2HX000758 · VA · VETERANS HEALTH ADMINISTRATION · PI GROGAN, ERIC L · 2014 to 2015
–
HSRD VA IK2 HX000758NCI NIH HHS U01 CA152662NCI NIH HHS U01 CA186145
6 · The paper itself

Abstract

Importance: Clinical guidelines recommend that clinicians estimate the probability of malignancy for patients with indeterminate pulmonary nodules (IPNs) larger than 8 mm. Adherence to these guidelines is unknown. Objectives: To determine whether clinicians document the probability of malignancy in high-risk IPNs and to compare these quantitative or qualitative predictions with the validated Mayo Clinic Model. Design, Setting, and Participants: Single-institution, retrospective cohort study of patients from a tertiary care Department of Veterans Affairs hospital from January 1, 2003, through December 31, 2015. Cohort 1 included 291 veterans undergoing surgical resection of known or suspected lung cancer from January 1, 2003, through December 31, 2015. Cohort 2 included a random sample of 239 veterans undergoing inpatient or outpatient pulmonary evaluation of IPNs at the hospital from January 1, 2003, through December 31, 2012. Exposures: Clinician documentation of the quantitative or qualitative probability of malignancy. Main Outcomes and Measures: Documentation from pulmonary and/or thoracic surgery clinicians as well as information from multidisciplinary tumor board presentations was reviewed. Any documented quantitative or qualitative predictions of malignancy were extracted and summarized using descriptive statistics. Clinicians' predictions were compared with risk estimates from the Mayo Clinic Model. Results: Of 291 patients in cohort 1, 282 (96.9%) were men; mean (SD) age was 64.6 (9.0) years. Of 239 patients in cohort 2, 233 (97.5%) were men; mean (SD) age was 65.5 (10.8) years. Cancer prevalence was 258 of 291 cases (88.7%) in cohort 1 and 110 of 225 patients with a definitive diagnosis (48.9%) in cohort 2. Only 13 patients (4.5%) in cohort 1 and 3 (1.3%) in cohort 2 had a documented quantitative prediction of malignancy prior to tissue diagnosis. Of the remaining patients, 217 of 278 (78.1%) in cohort 1 and 149 of 236 (63.1%) in cohort 2 had qualitative statements of cancer risk. In cohort 2, 23 of 79 patients (29.1%) without any documented malignancy risk statements had a final diagnosis of cancer. Qualitative risk statements were distributed among 32 broad categories. The most frequently used statements aligned well with Mayo Clinic Model predictions for cohort 1 compared with cohort 2. The median Mayo Clinic Model-predicted probability of cancer was 68.7% (range, 2.4%-100.0%). Qualitative risk statements roughly aligned with Mayo predictions. Conclusions and Relevance: Clinicians rarely provide quantitative documentation of cancer probability for high-risk IPNs, even among patients drawn from a broad range of cancer probabilities. Qualitative statements of cancer risk in current practice are imprecise and highly variable. A standard scale that correlates with predicted cancer risk for IPNs should be used to communicate with patients and other clinicians.

Indexed as

CommunicationAgedDocumentationFemaleGuideline AdherenceHumansLung NeoplasmsMaleMedical RecordsMiddle AgedPractice Guidelines as TopicProbabilityRetrospective StudiesRisk AssessmentRisk FactorsSolitary Pulmonary Nodule

Identifiers

PMID29261826
PMCPMC5910256
OpenAlexW2781072565

What OpenQuestion holds

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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.