Evidence map›Paper›PMID 34682889›Full record

ArticleJournal of clinical medicine2021

The Predictive Role of Modified Early Warning Score in 174 Hematological Patients at the Point of Transfer to the Intensive Care Unit.

Catalin Constantinescu, Sergiu Pasca, Sabina Iluta, Grigore Gafencu, Maria Santa, Ciprian Jitaru, Patric Teodorescu, Delia Dima, Mihnea Zdrenghea, Ciprian Tomuleasa

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 20% 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, 10 citations in OpenAlex.

  1. Observational
  2. Delta MEWS combined with SpOFrontiers in medicine · 2026
    Article
  3. Article
  4. 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

10 authors at 3 institutions in 3 countries.

Catalin ConstantinescuDepartment of Hematology, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj Napoca, Romania.ORCID 0000-0001-8292-911X
Sergiu PascaDepartment of Hematology, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj Napoca, Romania.
Sabina IlutaDepartment of Hematology, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj Napoca, Romania.
Grigore GafencuMRC Molecular Haematology Unit-The MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, UK.ORCID 0000-0001-6369-3201
Maria SantaDepartment of Hematology, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj Napoca, Romania.
Ciprian JitaruDepartment of Hematology, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj Napoca, Romania.
Patric TeodorescuDepartment of Hematology, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj Napoca, Romania.ORCID 0000-0002-4129-8478
Delia DimaDepartment of Hematology, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj Napoca, Romania.
Mihnea ZdrengheaDepartment of Hematology, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj Napoca, Romania.
Ciprian TomuleasaDepartment of Hematology, Iuliu Hatieganu University of Medicine and Pharmacy, 400349 Cluj Napoca, Romania.ORCID 0000-0001-5500-1519
Iuliu Hațieganu University of Medicine and Pharmacy · ROJohns Hopkins University · USUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe examination of vital signs and their changes during illness can alert physicians to possible impending deterioration and organ dysfunction. The Modified Early Warning Score (MEWS) is used worldwide as a track and trigger system that can help to identify patients at risk of critical illness. Thus, the current study aimed to assess the ability of MEWS to predict the mortality of hematologic patients at the point of transfer from the ward to the intensive care unit (ICU). MATERIALS AND

methodsThe present study was retrospective, longitudinal, and observational, conducted at an oncology hospital in the city of Cluj-Napoca, Romania. We included 174 patients with hematological disorders transferred from the ward to the ICU between the 1st of January 2018 and the 1st of May 2020. We assessed the MEWS at the moment of admission in these patients in the ICU. The accuracy of MEWS in predicting mortality was assessed via the area under the receiver operating characteristic curves (AUC), and sensitivity, specificity, and hazard ratio (HR) were calculated for different MEWS cutoffs. MEWS values considering the status at discharge and frequency of death by MEWS were also analyzed.

resultsWe calculated MEWS values considering the status at discharge (

conclusionThe MEWS and cutoff points were determined on a sample of hematologic patients at the moment of admission to the ICU. The final aim is to encourage physicians to use these scores to improve awareness of organ failure to admit patients to the ICU sooner and limit overall morbidity and mortality. The presence of an ICU physician on ward rounds might help in reducing the timeframe of access to a high-dependency unit (HDU) or ICU. An extension of these scores outside hematologic patients or considering hematologic patients outside ICU must be further studied.

Indexed as

hematologyintensive caremodified early warning scoreprognosis

Identifiers

PMID34682889
PMCPMC8539931
OpenAlexW3206809321

What OpenQuestion holds

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LicenceCC BY
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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.