Evidence map›Paper›PMID 31400811›Full record

ArticleAmerican journal of surgery2020

Improved prediction of HIT in the SICU using an improved model of the Warkentin 4-T system: 3-T.

Matthew B Bloom, Jeffrey Johnson, Oksana Volod, Ernest Y Lee, Terris White, Daniel R Margulies

Abstract read
In one paragraph

Article in American journal of surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Matthew B BloomDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA. Electronic address: matthew.bloom@cshs.org.
Jeffrey JohnsonDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA. Electronic address: jeffrey.johnson@cshs.org.
Oksana VolodDepartment of Pathology, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA. Electronic address: oksana.volod@cshs.org.
Ernest Y LeeUCLA-Caltech Medical Scientist Training Program, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA. Electronic address: ernlee@mednet.ucla.edu.
Terris WhiteUnited Regional Health Care System, Wichita Falls, TX, USA. Electronic address: terris.white@gmail.com.
Daniel R MarguliesDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA. Electronic address: daniel.margulies@cshs.org.

Funding

UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
NIGMS NIH HHS T32 GM008042
6 · The paper itself

Abstract

backgroundThe Warkentin 4-T scoring system for determining the pretest probability of heparin-induced thrombocytopenia (HIT) has been shown to be inaccurate in the ICU and does not take into account body mass index (BMI).

methodsProspectively collected data on patients in the surgical and cardiac ICU between January 2007 and February 2016 who were presumed to have HIT by clinical suspicion were reviewed. Patients were categorized into 3 BMI groups and assigned scores: Normal weight, overweight, and obese. Multivariate analyses were used to identify independent predictors of HIT.

resultsA total of 523 patients met inclusion criteria. Multivariate analysis showed that only BMI, Timing, and oTher variables were independently associated with HIT. This new 3-T model was better than a five-component model consisting of the entire 4-T scoring system plus BMI (AUC = 0.791).

conclusionsIncorporating patient 'T'hickness into a pretest probability model along with platelet 'T'iming and the exclusion of o'T'her causes of thrombocytopenia yields a simplified "3-T" scoring system that has increased predictive accuracy in the ICU.

Indexed as

Body Mass IndexModels, TheoreticalAdultAgedFemaleFibrinolytic AgentsForecastingHeparinHumansIntensive Care UnitsMaleMiddle AgedRetrospective StudiesThrombocytopeniaFibrinolytic AgentsHeparin

Identifiers

PMID31400811
PMCPMC6917902

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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.