Evidence map›Paper›PMID 42434168›Full record

ArticleCureus2026

Inpatient Hemato-Oncology Service Use Before, During, and After COVID-19 Restrictions in a Romanian Tertiary Center.

Paul C Toboltoc

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Paul C ToboltocPathology, Sibiu County Emergency Clinical Hospital, Sibiu, ROU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction The coronavirus disease 2019 (COVID-19) pandemic disrupted cancer diagnosis and treatment pathways, but hospital-based evidence on inpatient hemato-oncology service use in Eastern Europe remains limited. This study evaluated how the pandemic period affected case capture, diagnostic confirmation, repeated inpatient representation, hospital admissions, and hospital days among adults with lymphoma, leukemia, or multiple myeloma treated in a Romanian tertiary center. Materials and methods A retrospective observational single-center analysis was performed at Sibiu County Emergency Clinical Hospital, Sibiu, Romania. Adult patients identified in hospital records between March 11, 2018, and March 8, 2024, were grouped into pre-pandemic, pandemic, and post-restriction periods. The analysis followed three cohort layers: initially identified patients, diagnostically confirmed cases, and final longitudinally eligible patients, defined as diagnostically confirmed patients with at least two standard inpatient admissions in the corresponding study period. Population-normalized hospital-based rates, rate ratios (RRs), 95% confidence intervals (CIs), proportion tests, chi-square tests, non-parametric comparisons, sensitivity analyses by major disease group, and adjusted patient-level models were used. Results The initially identified patient cohort included 1,314 patients, of whom 1,188 were diagnostically confirmed, and 749 met final longitudinal eligibility criteria. All patient counts decreased numerically during the pandemic period, but these changes did not reach statistical significance. In contrast, inpatient service-use indicators showed significant contraction. Hospitalizations declined from 1,450 before the pandemic to 1,325 during the pandemic period (RR 0.91, 95% CI 0.85-0.98, p = 0.015), while hospital days decreased from 8,123 to 6,553 (RR 0.81, 95% CI 0.78-0.83, p < 0.001). After restrictions, hospitalizations returned to baseline, but hospital days remained below the pre-pandemic level (RR 0.90, 95% CI 0.88-0.93, p < 0.001). Broad lymphoma, leukemia, and multiple myeloma distributions remained stable across periods. Disease-specific sensitivity analyses showed significant pandemic-period reductions in aggregate hospital days across all three major groups, whereas adjusted models showed comparable admissions and hospital days per patient retained in the final longitudinal cohort. Conclusions In this Romanian tertiary-center cohort, the pandemic period was associated mainly with aggregate inpatient service-use contraction rather than with broad disease-mix change. The findings indicate that stable cohort composition may coexist with reduced inpatient bed-day exposure. Combined monitoring of case capture, diagnostic confirmation, longitudinal inpatient representation, admissions, and hospital days may provide a descriptive hospital-based framework for distinguishing diagnostic-volume changes from service-intensity changes during healthcare disruptions.

Indexed as

covid-19healthcare utilizationhematologic malignancieshospital dayshospitalizationsinpatient carepandemicromania

Identifiers

PMID42434168
PMCPMC13352501

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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.