Evidence map›Paper›PMID 31912785›Full record

Trial reportAnnals of oncology : official journal of the European Society for Medical Oncology2020

Differential effects of an electronic symptom monitoring intervention based on the age of patients with advanced cancer.

R D Nipp, N K Horick, A M Deal, L J Rogak, C Fuh, J A Greer, A C Dueck, E Basch, J S Temel, A El-Jawahri

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Annals of oncology : official journal of the European Society for Medical Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
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  6. Article
  7. Big Data for Geriatric Oncology Research.North Carolina medical journal · 2024
    Article
  8. Review
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  13. Understanding Treatment Tolerability in Older Adults With Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2021
    Review
  14. Convergence of Geriatrics and Palliative Care to Deliver Personalized Supportive Care for Older Adults With Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2021
    Review
  15. Article
  16. Article
  17. AMTRA: a multicentered experience of a web-based monitoring and tailored toxicity management system for cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

R D NippDepartment of Medicine, Division of Hematology & Oncology, Massachusetts General Hospital Cancer Center & Harvard Medical School, Boston, USA. Electronic address: RNipp@MGH.Harvard.edu.
N K HorickBiostatistics Center, Massachusetts General Hospital, Boston, USA.
A M DealDepartment of Medicine, Division of Hematology & Oncology, Lineberger Comprehensive Cancer Center at University of North Carolina, Chapel Hill, USA.
L J RogakDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, USA.
C FuhDepartment of Medicine, Division of Hematology & Oncology, Massachusetts General Hospital Cancer Center & Harvard Medical School, Boston, USA.
J A GreerDepartment of Psychiatry, Massachusetts General Hospital & Harvard Medical School, Boston, USA.
A C DueckAlliance Statistics and Data Center, Division of Health Sciences Research, Mayo Clinic, Scottsdale, USA.
E BaschDepartment of Medicine, Division of Hematology & Oncology, Lineberger Comprehensive Cancer Center at University of North Carolina, Chapel Hill, USA.
J S TemelDepartment of Medicine, Division of Hematology & Oncology, Massachusetts General Hospital Cancer Center & Harvard Medical School, Boston, USA.
A El-JawahriDepartment of Medicine, Division of Hematology & Oncology, Massachusetts General Hospital Cancer Center & Harvard Medical School, Boston, USA.
Harvard University · USUniversity of North Carolina at Chapel Hill · USMassachusetts General Hospital · USMayo Clinic in Arizona · USMemorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Optimizing Palliative and End of Life Care for Patients with CancerK24CA181253 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI TEMEL, JENNIFER SUE · 2014 to 2018
$737k
NCI NIH HHS K24 CA181253NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundSymptom monitoring interventions enhance patient outcomes, including quality of life (QoL), health care utilization, and survival, but it remains unclear whether older and younger patients with cancer derive similar benefits. We explored whether age moderates the improved outcomes seen with an outpatient electronic symptom monitoring intervention. PATIENTS AND

methodsWe carried out a secondary analysis of data from a randomized trial of 766 patients receiving chemotherapy for metastatic solid tumors. Patients received an electronic symptom monitoring intervention integrated with oncology care or usual oncology care alone. The intervention consisted of patients reporting their symptoms, which were provided to their physicians at clinic visits, and nurses receiving alerts for severe/worsening symptoms. We used regression models to determine whether age (older or younger than 70 years) moderated the effects of the intervention on QoL (EuroQol EQ-5D), emergency room (ER) visits, hospitalizations, and survival outcomes.

resultsEnrollment rates for younger (589/777 = 75.8%) and older (177/230 = 77.0%) patients did not differ. Older patients (median age = 75 years, range 70-91 years) were more likely to have an education level of high school or less (26.6% versus 20.9%, P = 0.029) and to be computer inexperienced (50.3% versus 23.4%, P < 0.001) compared with younger patients (median age = 58 years, range 26-69 years). Younger patients receiving the symptom monitoring intervention experienced lower risk of ER visits [hazard ratio (HR) = 0.74, P = 0.011] and improved survival (HR = 0.76, P = 0.011) compared with younger patients receiving usual care. However, older patients did not experience significantly lower risk of ER visits (HR = 0.90, P = 0.613) or improved survival (HR = 1.06, P = 0.753) with the intervention. We found no moderation effects based on age for QoL and risk of hospitalizations.

conclusionsAmong patients with advanced cancer, age moderated the effects of an electronic symptom monitoring intervention on the risk of ER visits and survival, but not QoL. Symptom monitoring interventions may need to be tailored to the unique needs of older adults with cancer.

Indexed as

ElectronicsEmergency Service, HospitalMonitoring, PhysiologicNeoplasmsQuality of LifeAgedAged, 80 and overAmbulatory CareHospitalizationHumansadvanced cancergeriatric oncologyhospitalizationoutcomes researchquality of lifesymptoms

Identifiers

PMID31912785
PMCPMC7497788
OpenAlexW2999160614

What OpenQuestion holds

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Registered trials

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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.