Evidence map›Paper›PMID 36213939›Full record

ArticleJournal of intensive care medicine2023

Assessment of Admission COVID-19 Associated Hyperinflammation Syndrome Score in Critically-Ill COVID-19 Patients.

Mehmet Yildirim, Burcin Halacli, Deniz Yuce, Yunus Gunegul, Ebru Ortac Ersoy, Arzu Topeli

Open access · greenAbstract read
In one paragraph

Article in Journal of intensive care medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 36% 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, 6 citations in OpenAlex.

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  5. Review
  6. Observational
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

6 authors at 1 institution in 1 country.

Mehmet YildirimFaculty of Medicine, Department of Internal Medicine, Division of Intensive Care, Hacettepe University, Ankara, Turkey.ORCID 0000-0002-0526-5943
Burcin HalacliFaculty of Medicine, Department of Internal Medicine, Division of Intensive Care, Hacettepe University, Ankara, Turkey.ORCID 0000-0002-7216-7438
Deniz YuceFaculty of Medicine, Department of Preventive Oncology, Hacettepe University, Ankara, Turkey.
Yunus GunegulFaculty of Medicine, Department of Internal Medicine, Hacettepe University, Ankara, Turkey.
Ebru Ortac ErsoyFaculty of Medicine, Department of Internal Medicine, Division of Intensive Care, Hacettepe University, Ankara, Turkey.
Arzu TopeliFaculty of Medicine, Department of Internal Medicine, Division of Intensive Care, Hacettepe University, Ankara, Turkey.
Hacettepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to evaluate the relation between admission COVID-19 associated hyperinflammatory syndrome (cHIS) score and intensive care unit (ICU) outcomes. MATERIALS AND

methodsPatients with laboratory confirmed COVID-19 admitted to our ICU between 20

resultsThree hundred and seventy patients with a median (IQR) age of 66 (56-77) were analyzed. Median admission cHIS score was 3 (2-4). A cHIS score ≥3 was found to be associated with ICU mortality (sensitivity = 0.63, specificity = 0.50; p < 0.01) and IMV requirement after ICU admission (sensitivity = 0.61, specificity = 0.51; p < 0.01). Patients with an admission cHIS score ≥3 (n = 199) had worse median admission APACHEII, SOFA scores and PaO

conclusionCritically-ill COVID-19 patients with admission cHIS score ≥3 have worse disease severity and outcomes than other patients.

Indexed as

COVID-19AgedCritical IllnessHospitalizationHumansIntensive Care UnitsRetrospective StudiesSARS-CoV-2cHISCOVID-19hyperinflammationintensive care unitSARS-CoV-2score

Identifiers

PMID36213939
PMCPMC9549159
OpenAlexW4303986615

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.