Evidence map›Paper›PMID 36265089›Full record

ArticleJCO oncology practice2022

Association Between Remote Monitoring and Acute Care Visits in High-Risk Patients Initiating Intravenous Antineoplastic Therapy.

Bobby Daly, Kevin J Nicholas, Jessica Flynn, Katherine S Panageas, Nicholas Silva, Elaine Duck, Alice Zervoudakis, Jessie Holland, Rori Salvaggio, Aaron Begue and 8 more

Open access · greenAbstract read
In one paragraph

Article in JCO oncology practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

18 authors at 1 institution in 1 country.

Bobby DalyMemorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0001-6573-7650
Kevin J NicholasMemorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0001-8271-360X
Jessica FlynnMemorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0001-8310-6684
Katherine S PanageasMemorial Sloan Kettering Cancer Center, New York, NY.
Nicholas SilvaMemorial Sloan Kettering Cancer Center, New York, NY.
Elaine DuckMemorial Sloan Kettering Cancer Center, New York, NY.
Alice ZervoudakisMemorial Sloan Kettering Cancer Center, New York, NY.
Jessie HollandMemorial Sloan Kettering Cancer Center, New York, NY.
Rori SalvaggioMemorial Sloan Kettering Cancer Center, New York, NY.
Aaron BegueMemorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-6567-0756
Isaac WagnerMemorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-9590-0970
Stefania SokolowskiMemorial Sloan Kettering Cancer Center, New York, NY.
Melissa ZablockiMemorial Sloan Kettering Cancer Center, New York, NY.
Yeneat O ChiuMemorial Sloan Kettering Cancer Center, New York, NY.
Gilead J KupermanMemorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-4130-1577
Brett A SimonMemorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0001-8607-1800
Wendy PerchickMemorial Sloan Kettering Cancer Center, New York, NY.
Diane L Reidy-LagunesMemorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-2688-4556
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

purposeTraditional oncology care models have not effectively identified and managed at-risk patients to prevent acute care. A next step is to harness advances in technology to enable patients to report symptoms any time, enabling digital hovering-intensive symptom monitoring and management. Our objective was to evaluate a digital platform that identifies and remotely monitors high-risk patients initiating antineoplastic therapy with the goal of preventing acute care visits.

methodsThis was a single-institution matched cohort quality improvement study conducted at a National Cancer Institute-designated cancer center between January 1, 2019, and March 31, 2020. Eligible patients were those initiating intravenous antineoplastic therapy who were identified as high risk for seeking acute care. Enrolled patients' symptoms were monitored using a digital platform. A dedicated team of clinicians managed reported symptoms. The primary outcomes of emergency department visits and hospitalizations within 6 months of treatment initiation were analyzed using cumulative incidence analyses with a competing risk of death.

resultsEighty-one patients from the intervention arm were matched by stage and disease with contemporaneous high-risk control patients. The matched cohort had similar baseline characteristics. The cumulative incidence of an emergency department visit for the intervention cohort was 0.27 (95% CI, 0.17 to 0.37) at six months compared with 0.47 (95% CI, 0.36 to 0.58) in the control (

conclusionThe narrow employment of technology solutions to complex care delivery challenges in oncology can improve outcomes and innovate care. This program was a first step in using a digital platform and a remote team to improve symptom care for high-risk patients.

Indexed as

Antineoplastic AgentsCohort StudiesEmergency Service, HospitalHospitalizationHumansPalliative CareAntineoplastic Agents

Identifiers

PMID36265089
PMCPMC9750548
OpenAlexW4306940010

What OpenQuestion holds

Textmetadata
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.