Evidence map›Paper›PMID 33928260›Full record

ArticleCritical care explorations2021

Diagnostic Potential of Coagulation-Related Biomarkers for Sepsis in the Emergency Department: Protocol for a Pilot Observational Cohort Study.

Jaskirat Arora, Jennifer A Klowak, Sameer Parpia, Marcelo Zapata-Canivilo, Walaa Faidi, Christopher Skappak, Rachael Gregoris, Colin A Kretz, Dhruva J Dwivedi, Kerstin de Wit and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Critical care explorations, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. 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

12 authors.

Jaskirat AroraThrombosis & Atherosclerosis Research Institute (TaARI), Department of Medicine, McMaster University, Hamilton, ON, Canada.
Jennifer A KlowakThrombosis & Atherosclerosis Research Institute (TaARI), Department of Medicine, McMaster University, Hamilton, ON, Canada.
Sameer ParpiaDepartment of Health Research Methods Evidence and Impact, McMaster University, Hamilton, ON, Canada.
Marcelo Zapata-CaniviloThrombosis & Atherosclerosis Research Institute (TaARI), Department of Medicine, McMaster University, Hamilton, ON, Canada.
Walaa FaidiThrombosis & Atherosclerosis Research Institute (TaARI), Department of Medicine, McMaster University, Hamilton, ON, Canada.
Christopher SkappakDepartment of Medicine, Division Emergency Medicine, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.
Rachael GregorisThrombosis & Atherosclerosis Research Institute (TaARI), Department of Medicine, McMaster University, Hamilton, ON, Canada.
Colin A KretzThrombosis & Atherosclerosis Research Institute (TaARI), Department of Medicine, McMaster University, Hamilton, ON, Canada.
Dhruva J DwivediThrombosis & Atherosclerosis Research Institute (TaARI), Department of Medicine, McMaster University, Hamilton, ON, Canada.
Kerstin de WitThrombosis & Atherosclerosis Research Institute (TaARI), Department of Medicine, McMaster University, Hamilton, ON, Canada.
Michelle WelsfordDepartment of Medicine, Division Emergency Medicine, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.
Alison Fox-RobichaudThrombosis & Atherosclerosis Research Institute (TaARI), Department of Medicine, McMaster University, Hamilton, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBetween 75% and 80% of patients with sepsis arrive in the hospital through the emergency department. Early diagnosis is important to alter patient prognosis, but currently, there is no reliable biomarker. The innate immune response links inflammation and coagulation. Several coagulation -related biomarkers are associated with poor prognosis in the ICU. The role of coagulation biomarkers to aid in early sepsis diagnosis has not previously been investigated. The objective of our study is to determine the individual or combined accuracy of coagulation and inflammation biomarkers with standard biochemical tests to diagnose adult septic patients presenting to the emergency department.

methodsin the Emergency Department is a prospective, observational cohort study with a target enrolment of 250 suspected septic patients from two Canadian emergency departments. The emergency physicians will enroll patients with suspected sepsis. Blood samples will be collected at two time points (initial presentation and 4 hr following). Patients will be adjudicated into septic, infected, or not infected status in accordance with the Sepsis-3 definitions. Patient demographics, cultures, diagnosis, and biomarkers will be reported using descriptive statistics. Optimal cut off values with sensitivity and specificity for each biomarker will be determined using C-statistics to distinguish between septic and nonseptic patients. Stepwise multiple logistic regression analysis with exclusion of nonsignificant covariates from the final model will be used to establish a panel of biomarkers.

conclusionsOur protocol describes the processes and methods for a pragmatic observational biomarker study in the emergency department. This study will seek to determine the potential diagnostic importance of early coagulation abnormalities to identify additional tools for sepsis diagnosis.

Indexed as

a Disintegrin and Metalloprotease with ThromboSpondin type 1 motifcell-free deoxyribonucleic acidEarly Warning Scoresmember 13 proteinneutrophil extracellular trapsprotein Cvon Willebrand factor

Identifiers

PMID33928260
PMCPMC8078466

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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.