Evidence map›Paper›PMID 33932247›Full record

ArticleThe oncologist2021

Temporal Trends in Inpatient Oncology Census Before and During the COVID-19 Pandemic and Rates of Nosocomial COVID-19 Among Patients with Cancer at a Large Academic Center.

Leyre Zubiri, Rachel P Rosovsky, Meghan J Mooradian, A J Piper-Vallillo, Justin F Gainor, Ryan J Sullivan, Daniel Marte, Genevieve M Boland, Xin Gao, Ephraim P Hochberg and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in The oncologist, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

17 authors at 3 institutions in 1 country.

Leyre Zubiri *Division of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-4226-7443
Rachel P Rosovsky *Division of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Meghan J MooradianDivision of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
A J Piper-VallilloDivision of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Justin F GainorDivision of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Ryan J SullivanDivision of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Daniel MarteRutgers New Jersey Medical School, Newark, New Jersey, USA.
Genevieve M BolandDepartment of Surgical Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Xin GaoDivision of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Ephraim P HochbergDivision of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
David P RyanDivision of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Corey McEwenDepartment of Pharmacy, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Minh MaiMassachusetts General Hospital Cancer Center, Boston, MA, USA.
Tanya SharovaDepartment of Surgical Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Tara E SoumeraiDivision of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Aditya Bardia *Division of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Kerry L Reynolds *Division of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Harvard University · USMassachusetts General Hospital · USRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) pandemic has significantly impacted health care systems. However, to date, the trend of hospitalizations in the oncology patient population has not been studied, and the frequency of nosocomial spread to patients with cancer is not well understood. The objectives of this study were to evaluate the impact of COVID-19 on inpatient oncology census and determine the nosocomial rate of COVID-19 in patients with cancer admitted at a large academic center. MATERIALS AND

methodsMedical records of patients with cancer diagnosed with COVID-19 and admitted were reviewed to evaluate the temporal trends in inpatient oncology census during pre-COVID-19 (January 2019 to February 2020), COVID-19 (March to May 2020), and post-COVID-19 surge (June to August 2020) in the region. In addition, nosocomial infection rates of SARS-CoV-2 were reviewed.

resultsOverall, the daily inpatient census was steady in 2019 (median, 103; range, 92-118) and until February 2020 (median, 112; range, 102-114). However, there was a major decline from March to May 2020 (median, 68; range, 57-104), with 45.4% lower admissions during April 2020. As the COVID-19 surge eased, the daily inpatient census over time returned to the pre-COVID-19 baseline (median, 103; range, 99-111). One patient (1/231, 0.004%) tested positive for SARS-CoV-2 13 days after hospitalization, and it is unclear if it was nosocomial or community spread.

conclusionIn this study, inpatient oncology admissions decreased substantially during the COVID-19 surge but over time returned to the pre-COVID-19 baseline. With aggressive infection control measures, the rates of nosocomial transmission were exceedingly low and should provide reassurance to those seeking medical care, including inpatient admissions when medically necessary. IMPLICATIONS FOR PRACTICE: The COVID-19 pandemic has had a major impact on the health care system, and cancer patients are a vulnerable population. This study observes a significant decline in the daily inpatient oncology census from March to May 2020 compared with the same time frame in the previous year and examines the potential reasons for this decline. In addition, nosocomial rates of COVID-19 were investigated, and rates were found to be very low. These findings suggest that aggressive infection control measures can mitigate the nosocomial infection risk among cancer patients and the inpatient setting is a safe environment, providing reassurance.

Indexed as

COVID-19Cross InfectionNeoplasmsCensusesHumansInpatientsPandemicsSARS-CoV-2CancerClinical outcomesCOVID-19InpatientNosocomial rate

Identifiers

PMID33932247
PMCPMC8242879
OpenAlexW3158168978

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.