Evidence map›Paper›PMID 32702942›Full record

ArticleAnaesthesiology intensive therapy2020

Isolated prolongation of activated partial thromboplastin time in intensive care unit patients: a practical diagnostic algorithm and management options.

Piotr F Czempik, Elżbieta Żurawska, Łukasz Krzych

Open access · diamondAbstract read
In one paragraph

Article in Anaesthesiology intensive therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 88% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. [Nomogram and machine learning models for predicting in-hospital mortality in sepsis patients with deep vein thrombosis].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Article
  2. 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

3 authors at 2 institutions in 1 country.

Piotr F CzempikDepartment of Anaesthesiology and Intensive Care, Faculty of Medical Sciences in Katowice, Medical University of Silesia, Katowice, Poland.
Elżbieta ŻurawskaCentral Laboratory, University Clinical Centre of the Medical University of Silesia, Katowice, Poland.
Łukasz KrzychDepartment of Anaesthesiology and Intensive Care, Faculty of Medical Sciences in Katowice, Medical University of Silesia, Katowice, Poland.
Medical University of Silesia · PLUniversity Clinical Centre · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal values for standard laboratory tests of coagulation are frequently reported in critically ill patients. Sepsis-associated coagulopathy with prolonged prothrombin time and thrombocytopenia is common among patients hospitalized in the intensive care unit (ICU). Isolated prolongation of activated partial thromboplastin time (aPTT) occurs less frequently in the ICU setting and has numerous causes. Moreover, there are several preanalytical factors that may impact on results obtained. Isolated prolongation of aPTT in the absence of clinically relevant bleeding is a common finding in patients in the ICU. The first step in the diagnostic process is exclusion of preanalytical error. Next, based on the clinical picture (normal haemostasis vs. bleeding tendency), the appropriate tests should be ordered, taking into account acquired and congenital causes. To establish a diagnosis in a timely fashion, the proposed practical diagnostic algorithm can be followed.

Indexed as

Intensive Care UnitsPartial Thromboplastin TimeAlgorithmsBlood Coagulation DisordersDiagnosis, DifferentialHumansactivated partial thromboplastin timediagnostic algorithmintensive care unitmixing studypreanalytical error

Identifiers

PMID32702942
PMCPMC10176526
OpenAlexW3045711503

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.