Evidence map›Paper›PMID 35614926›Full record

ArticleFrontiers in neurology2022

Cerebrovascular Events in Suspected Sepsis: Retrospective Prevalence Study in Critically Ill Patients Undergoing Full-Body Computed Tomography.

Julian Pohlan, Jawed Nawabi, Denis Witham, Luna Schroth, Finn Krause, Jan Schulze, Simon Gelen, Robert Ahlborn, Kerstin Rubarth, Marc Dewey

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

5 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

10 authors at 3 institutions in 1 country.

Julian PohlanDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Charité Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Jawed NawabiDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Charité Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Denis WithamDepartment of Cardiology With Intensive Care, Charité - Universitätsmedizin Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany.
Luna SchrothDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Charité Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Finn KrauseDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Charité Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Jan SchulzeDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Charité Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Simon GelenDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Charité Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Robert AhlbornDepartment of Information Technology, Charité - Universitätsmedizin Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany.
Kerstin RubarthBerlin Institute of Health, Charité Medical University of Berlin, Berlin, Germany.
Marc DeweyDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Charité Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Charité - Universitätsmedizin Berlin · DEFreie Universität Berlin · DEHumboldt-Universität zu Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed at retrospectively evaluating full-body computed tomography (CT) examinations for the prevalence of cerebrovascular events in patients with suspected sepsis treated in the intensive care unit (ICU). Methods: All full-body CT examinations, i.e., both cranial CT (cCT) and body CT including chest, abdomen and pelvis, for focus search in septic patients over a 12-months period were identified from three ICUs, using full-text search. From this retrospective cohort, we fully analyzed 278 cCT examinations for the occurrence of acute cerebral findings. All acute cerebrovascular events were independently reviewed by two blinded readers. Clinical and laboratory findings were extracted. The data were statistically analyzed using contingency tests. Results: In our population of patients with suspected sepsis, 10.8% ( Conclusion: Our study provides further evidence that septic patients may suffer from cerebral events with relevance to their prognosis. Severe coma and the referring ward were associated with acute cerebral conditions. Full-body CT has the advantage of both detecting of septic foci and possibly identifying ischemic or hemorrhagic stroke in this vulnerable patient population.

Indexed as

cCTcerebrovascular eventscomputed tomographysepsisstroke

Identifiers

PMID35614926
PMCPMC9125158
OpenAlexW4229371376

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.