Evidence map›Paper›PMID 34085535›Full record

Observational studyJCO oncology practice2021

Association of a Remote Patient Monitoring (RPM) Program With Reduced Hospitalizations in Cancer Patients With COVID-19.

Joshua C Pritchett, Bijan J Borah, Aakash P Desai, Zhuoer Xie, Antoine N Saliba, Konstantinos Leventakos, Jordan D Coffey, Kristina K Pearson, Leigh L Speicher, Robert Orenstein and 5 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in JCO oncology practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 34 citations in OpenAlex.

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  15. Avoiding the "Faux Equalizer".Mayo Clinic proceedings · 2021
    Article
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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

15 authors at 1 institution in 7 countries.

Joshua C PritchettDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0001-6139-5526
Bijan J BorahKern Center for the Science of Healthcare Delivery, Mayo Clinic, Rochester, MN.
Aakash P DesaiDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-2943-3817
Zhuoer XieDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0003-1266-9804
Antoine N SalibaDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0003-3566-6518
Konstantinos LeventakosDivision of Medical Oncology, Mayo Clinic, Rochester, MN.
Jordan D CoffeyCenter for Connected Care, Mayo Clinic, Rochester, MN.
Kristina K PearsonCenter for Connected Care, Mayo Clinic, Rochester, MN.
Leigh L SpeicherDivision of General Internal Medicine, Mayo Clinic, Jacksonville, FL.
Robert OrensteinDivision of Infectious Diseases, Mayo Clinic, Phoenix, AZ.
Abinash VirkDivision of Infectious Diseases, Mayo Clinic, Rochester, MN.
Ravindra GaneshDivision of General Internal Medicine, Mayo Clinic, Rochester, MN.ORCID 0000-0002-6877-1712
Jonas PaludoDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-7350-5531
Thorvardur R HalfdanarsonDivision of Medical Oncology, Mayo Clinic, Rochester, MN.ORCID 0000-0001-8460-1257
Tufia C HaddadDivision of Medical Oncology, Mayo Clinic, Rochester, MN.ORCID 0000-0001-8226-3581
Target (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe goal of this study was to assess the impact of an interdisciplinary remote patient monitoring (RPM) program on clinical outcomes and acute care utilization in cancer patients with COVID-19.

methodsThis is a cross-sectional analysis following a prospective observational study performed at Mayo Clinic Cancer Center. Adult patients receiving cancer-directed therapy or in recent remission on active surveillance with polymerase chain reaction-confirmed SARS-CoV-2 infection between March 18 and July 31, 2020, were included. RPM was composed of in-home technology to assess symptoms and physiologic data with centralized nursing and physician oversight.

resultsDuring the study timeframe, 224 patients with cancer were diagnosed with COVID-19. Of the 187 patients (83%) initially managed in the outpatient setting, those who did not receive RPM were significantly more likely to experience hospitalization than those receiving RPM. Following balancing of patient characteristics by inverse propensity score weighting, rates of hospitalization for RPM and non-RPM patients were 2.8% and 13%, respectively, implying that the use of RPM was associated with a 78% relative risk reduction in hospital admission rate (95% CI, 54 to 102;

conclusionThe use of RPM and a centralized virtual care team was associated with a reduction in hospital admission rate and lower overall acute care resource utilization among cancer patients with COVID-19.

Indexed as

COVID-19NeoplasmsAdultCross-Sectional StudiesHospitalizationHumansMonitoring, PhysiologicSARS-CoV-2

Identifiers

PMID34085535
PMCPMC8457804
OpenAlexW3164662413

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.