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Record W2271781120 · doi:10.1136/emermed-2015-205261

Prehospital management and identification of sepsis by emergency medical services: a systematic review

2016· review· en· W2271781120 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEmergency Medicine Journal · 2016
Typereview
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreUniversity of TorontoOntario Tech UniversitySt. Michael's Hospital
Fundersnot available
KeywordsMedicineSepsisIntensive care medicineEmergency medical servicesResuscitationSeptic shockEmergency departmentEmergency medicineSystemic inflammatory response syndromeIdentification (biology)Internal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To identify studies describing the accuracy of prehospital sepsis identification and to summarise results of studies of prehospital management of patients with sepsis, severe sepsis or septic shock. METHODS: We conducted a systematic review to retrieve studies that evaluated the prehospital identification or treatment of patients with sepsis by emergency medical services (EMS). Two authors extracted data describing the study characteristics, incidence of sepsis among EMS-transported patients, criteria used to identify sepsis and specific treatments provided to patients with sepsis. When possible, we calculated the sensitivity and specificity of EMS provider diagnosis of sepsis. RESULTS: Our search identified no randomised controlled trials and 16 cohort studies. Eight studies described the identification of sepsis, seven described prehospital management or treatment of sepsis and one described both. The most common approach to the identification of sepsis involved applying systemic inflammatory response syndrome criteria or a combination of vital signs, which had sensitivity ranging from 0.43 to 0.86 when used alone or combined with provider impression. Only four studies collected information required to calculate specificity (0.47-0.87). Meta-analysis was not performed owing to significant heterogeneity and an overall low quality of evidence. A few studies described prehospital sepsis treatment-most commonly intravenous fluid resuscitation. CONCLUSIONS: The evidence suggests that identification of sepsis in the prehospital setting by EMS providers is carried out with varied success, depending on the strategy used; however, high-quality studies are lacking. Relying on provider impression alone had poor sensitivity, but some moderate-quality evidence supporting structured screening for sepsis with vital signs criteria demonstrated modest sensitivity and specificity. Additional research to improve diagnostic accuracy and explore improvements in EMS management is needed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.144
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0330.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.064
GPT teacher head0.411
Teacher spread0.347 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it