Evidence map›Paper›PMID 34921934›Full record

Trial reportJournal of pain and symptom management2022

Clinical Decision Support for Symptom Management in Lung Cancer Patients: A Group RCT.

Mary E Cooley, Emanuele Mazzola, Niya Xiong, Fangxin Hong, David F Lobach, Ilana M Braun, Barbara Halpenny, Michael S Rabin, Ellis Johns, Kathleen Finn and 3 more

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of pain and symptom management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Application Value of Evidence-Based Care in Patients with Lung Cancer Chemotherapy.Computational and mathematical methods in medicine · 2022
    Article
  9. Article
  10. 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

13 authors at 5 institutions in 1 country.

Mary E CooleyResearch in Nursing and Patient Care (M.E.C, B.H.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA. Electronic address: Mary_cooley@dfci.harvard.edu.
Emanuele MazzolaData Sciences (E.M., N.X., F.H.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Niya XiongData Sciences (E.M., N.X., F.H.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Fangxin HongData Sciences (E.M., N.X., F.H.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
David F LobachKlesis Healthcare (D.F.L.), Durham, North Carolina, USA.
Ilana M BraunPsychosocial Oncology and Palliative Care (I.M.B., J.L.A.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Barbara HalpennyResearch in Nursing and Patient Care (M.E.C, B.H.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Michael S RabinLowe Center for Thoracic Oncology (M.S.R.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Ellis JohnsFamily Medicine (E.J.), Virginia Commonwealth University, Richmond, Virginia, USA.
Kathleen FinnClinical Research (K.F.), City of Hope, Duarte, California, USA.
Donna BerryBiobehavioral Nursing and Health Informatics (D.B.), University of Washington, Seattle, Washington, USA.
Ruth McCorkleSchool of Nursing (R.M.), Yale University, New Haven, Connecticut, USA.
Janet L AbrahmPsychosocial Oncology and Palliative Care (I.M.B., J.L.A.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Dana-Farber Cancer Institute · USCity of Hope · USUniversity of Washington · USVirginia Commonwealth University · USYale University · US

Funding

A lung cancer symptom assessment and management interventionR01CA125256 · NCI · DANA-FARBER CANCER INST · PI COOLEY, MARY E · 2008 to 2011
$1.9M
NCI NIH HHS R01 CA125256
6 · The paper itself

Abstract

contextClinical guidelines are available to enhance symptom management during cancer treatment but often are not used in the practice setting. Clinical decision support can facilitate the implementation and adherence to clinical guidelines. and improve the quality of cancer care.

objectivesClinical decision support offers an innovative approach to integrate guideline-based symptom management into oncology care. This study evaluated the effect of clinical decision support-based recommendations on clinical management of symptoms and health-related quality of life (HR-QOL) among outpatients with lung cancer.

methodsTwenty providers and 179 patients were allotted in group randomization to attention control (AC) or Symptom Assessment and Management Intervention (SAMI) arms. SAMI entailed patient-report of symptoms and delivery of recommendations to manage pain, fatigue, dyspnea, depression, and anxiety; AC entailed symptom reporting prior to the visit. Outcomes were collected at baseline, two, four and six-months. Adherence to recommendations was assessed through masked chart review. HR-QOL was measured by the Functional Assessment of Cancer Therapy-Lung questionnaire. Descriptive statistics with linear and logistic regression accounting for the clustering structure of the design and a modified chi-square test were used for analyses.

resultsMedian age of patients was 63 years, 58% female, 88% white, and 32% ≤high school education. Significant differences in clinical management were evident in SAMI vs. AC for all target symptoms that passed threshold. Patients in SAMI were more likely to receive sustained-release opioids for constant pain, adjuvant medications for neuropathic pain, opioids for dyspnea, stimulants for fatigue and mental health referrals for anxiety. However, there were no statistically significant differences in HR-QOL at any time point.

conclusionSAMI improved clinical management for all target symptoms but did not improve patient outcomes. A larger study is warranted to evaluate effectiveness.

Indexed as

Decision Support Systems, ClinicalLung NeoplasmsAnalgesics, OpioidDyspneaFatigueFemaleHumansMaleMiddle AgedPainQuality of LifeAnalgesics, Opioidanxietyclinical decision supportdepressiondyspneafatigue health-related quality of lifenonsmall cell lung cancerpainpatient-reported outcomessymptom assessmentSymptom management

Identifiers

PMID34921934
PMCPMC9194912
OpenAlexW4200230668

What OpenQuestion holds

Textmetadata
LicenceTDM
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.