Evidence map›Paper›PMID 34140832›Full record

ArticleBiochemia medica2021

Performance of D-dimer for predicting sepsis mortality in the intensive care unit.

Yan-Qiu Han, Li Yan, Lei Zhang, Pei-Heng Ouyang, Peng Li, Giuseppe Lippi, Zhi-De Hu

Open access · diamondAbstract read
In one paragraph

Article in Biochemia medica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
5.3field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. A Systematic Review of Predictor Composition, Outcomes, Risk of Bias, and Validation of COVID-19 Prognostic Scores.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Pooled it
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  18. Prognostic value of PaOThe Journal of international medical research · 2022
    Article
  19. Hematologic System Dysregulation in Critically Ill Septic Patients with Anemia-A Retrospective Cohort Study.International journal of environmental research and public health · 2022
    Observational
  20. 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

7 authors at 1 institution in 1 country.

Yan-Qiu HanDepartment of Laboratory Medicine, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Li YanDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Lei ZhangDepartment of Laboratory Medicine, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Pei-Heng OuyangDepartment of Laboratory Medicine, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Peng LiDepartment of Laboratory Medicine, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Giuseppe LippiSection of Clinical Biochemistry, University of Verona, Verona, Italy.
Zhi-De HuDepartment of Laboratory Medicine, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Inner Mongolia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe prognostic value of D-dimer (DD) in sepsis remains controversial. This study aimed to investigate the performance of DD for predicting sepsis mortality in the hospital and for identifying its potential correlates. MATERIALS AND

methodsThe clinical and laboratory data of adult sepsis patients were extracted from the Medical Information Mart for Intensive Care III (MIMIC III, v1.4) database using the structured query language (SQL). The database contains critical illness admitted to the intensive care unit at Beth Israel Deaconess Medical Center between June 2001 and October 2012. The association between DD and mortality was investigated with receiver operating characteristic (ROC) curve, restricted cubic spline and logistic regression analysis. Subgroup analysis was also used for identifying DD correlates.

resultsThe study population consisted of 358 sepsis patients. Those who died during hospital stay (N = 160) had significantly higher DD values than those who survived (N = 198). The area under the ROC curve (AUC) of DD was 0.59 (P < 0.010). In subgroup analysis, white blood cell (WBC) count > 18 x10 DISCUSSION: We conclude that the accuracy of DD for predicting in-hospital sepsis mortality depends on WBC count and vasopressor therapy. Both low and extremely elevated DD values are associated with higher risk of death.

Indexed as

Hospital MortalityIntensive Care UnitsAdultFemaleFibrin Fibrinogen Degradation ProductsHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesSepsisFibrin Fibrinogen Degradation Productsfibrin fragment Ddisseminated intravascular coagulationfibrin/fibrinogen degradation productsintensive care unitssepsistreatment outcome

Identifiers

PMID34140832
PMCPMC8183117
OpenAlexW3167907870

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.