Evidence map›Paper›PMID 33896254›Full record

Observational studyJournal of intensive care medicine2022

Necrotizing Soft Tissue Infections in Intensive Care.

Alexandru Ogica, Christoph Burdelski, Holger Rohde, Stefan Kluge, Geraldine de Heer

Abstract readObservational Study
In one paragraph

Observational study in Journal of intensive care medicine, 2022. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

5 authors.

Alexandru OgicaDepartment of Intensive Care Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0000-0002-8934-9772
Christoph BurdelskiDepartment of Intensive Care Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
Holger RohdeInstitute of Microbiology, Virology and Hygiene, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
Stefan KlugeDepartment of Intensive Care Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
Geraldine de HeerDepartment of Intensive Care Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNecrotizing soft tissue infections (NSTIs) are typically characterized by extensive soft tissue destruction with systemic signs of toxicity, ranging from sepsis to septic shock. Our aim was to analyze the clinical characteristics, microbiological results, laboratory data, therapies, and outcome of patients with NSTIs admitted to an intensive care unit (ICU).

methodsA monocentric observational study of patients admitted to the ICU of a university hospital between January 2009 and December 2017. The demographic characteristics, comorbidities, clinical features, microbiology and laboratory results, organ dysfunctions, therapies, and outcome were retrospectively analyzed.

resultsThere were 59 patients and 70% males. The mean age (± SD) was 55 ± 18; type II (monomicrobial) NSTI was present in 36 patients (61%); the most common isolated pathogen was

conclusionNSTIs carry a high risk of septic shock and multiple organ dysfunction syndrome and thus are still associated with high mortality. In our study, the value of serum lactate at admission to the ICU correlated well with mortality. This easy-to-measure parameter could play a role in the decision-making process regarding prognosis and continuation of care.

Indexed as

SepsisShock, SepticSoft Tissue InfectionsCritical CareFemaleHumansIntensive Care UnitsMalePrognosisRetrospective Studiesintensive carelactatenecrotizing soft tissue infectionsepsis

Identifiers

PMID33896254
PMCPMC8772247

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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.