Evidence map›Paper›PMID 30685832›Full record

ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2020

Needs with Regard to Decision Support Systems for Treating Patients with Incurable Non-small Cell Lung Cancer.

Dóra Révész, Ellen G Engelhardt, Johannes J Tamminga, Franz M N H Schramel, Bregje D Onwuteaka-Philipsen, Ewoudt M W van de Garde, Ewout W Steyerberg, Henrica C W de Vet, Veerle M H Coupé

Abstract read
In one paragraph

Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Clinician perspectives on clinical decision support systems in lung cancer: Implications for shared decision-making.Health expectations : an international journal of public participation in health care and health policy · 2022
    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

9 authors.

Dóra RévészDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, PO Box 7057, 1081 HV, Amsterdam, The Netherlands. d.revesz@vumc.nl.ORCID http://orcid.org/0000-0003-0435-6808
Ellen G EngelhardtDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, PO Box 7057, 1081 HV, Amsterdam, The Netherlands.
Johannes J TammingaDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, PO Box 7057, 1081 HV, Amsterdam, The Netherlands.
Franz M N H SchramelDepartment of Lung Diseases and Treatment, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands.
Bregje D Onwuteaka-PhilipsenDepartment of Public and Occupational Health, Amsterdam Public Health Research Institute, VU University Medical Center, PO Box 7057, 1081 HV, Amsterdam, The Netherlands.
Ewoudt M W van de GardeDepartment of Clinical Pharmacy, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands.
Ewout W SteyerbergCenter for Medical Decision Sciences, Department of Public Health, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.
Henrica C W de VetDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, PO Box 7057, 1081 HV, Amsterdam, The Netherlands.
Veerle M H CoupéDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, PO Box 7057, 1081 HV, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment decision-making for patients with incurable non-small cell lung cancer (NSCLC) is complex due to the rapidly increasing number of treatments and discovery of new biomarkers. Decision support systems (DSS) could assist thoracic oncologists (TO) weighing of the pros and cons of treatments in order to arrive at an evidence-based and personalized treatment advice. Our aim is to inventory (1) TO's needs with regard to DSS in the treatment of incurable (stage IIIB/IV) NSCLC patients, and (2) preferences regarding the development of future tools in this field. We disseminated an online inventory questionnaire among all members of the Section of Oncology within the Society of Physicians in Chest Medicine and Tuberculosis. Telephone interviews were conducted to better contextualize the findings from the questionnaire. In total, 58 TO completed the questionnaire and expressed a need for new DSS. They reported that it is important for tools to include genetic and immune markers, to be sufficiently validated, regularly updated, and time-efficient. Also, future DSS should incorporate multiple treatment options, integrate estimates of toxicity, quality of life and cost-effectiveness of treatments, enhance communication between caregivers and patients, and use IT solutions for a clear interface and continuous updating of tools. With this inventory among Dutch TO, we summarized the need for new DSS to aid treatment decision-making for patients with incurable NSCLC. To meet the expressed needs, substantial additional efforts will be required by DSS developers, above already existing tools.

Indexed as

Decision Support Systems, ClinicalNeeds AssessmentQuality of LifeAttitude of Health PersonnelCarcinoma, Non-Small-Cell LungHumansLung NeoplasmsPhysiciansSurveys and QuestionnairesDecision support systemsNon-small-cell lung cancerSurveys and questionnaires

Identifiers

PMID30685832
PMCPMC7075822

What OpenQuestion holds

Textmetadata
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.