Evidence map›Paper›PMID 33901192›Full record

ArticlePloS one2021

Utility of cell-free DNA concentrations and illness severity scores to predict survival in critically ill neonatal foals.

Sarah Florence Colmer, Daniela Luethy, Michelle Abraham, Darko Stefanovski, Samuel David Hurcombe

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Visualizing neutrophil extracellular traps in septic equine synovial and peritoneal fluid samples using immunofluorescence microscopy.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2023
    Article
  6. Article
  7. Article
  8. Investigation of plasma cell-free DNA as a potential biomarker in horses.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2022
    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

5 authors at 1 institution in 1 country.

Sarah Florence ColmerDepartment of Clinical Sciences, The University of Pennsylvania School of Veterinary Medicine, New Bolton Center, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0001-7442-8809
Daniela LuethyDepartment of Clinical Sciences, The University of Pennsylvania School of Veterinary Medicine, New Bolton Center, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0003-1693-2147
Michelle AbrahamDepartment of Clinical Sciences, The University of Pennsylvania School of Veterinary Medicine, New Bolton Center, Philadelphia, Pennsylvania, United States of America.
Darko StefanovskiDepartment of Clinical Sciences, The University of Pennsylvania School of Veterinary Medicine, New Bolton Center, Philadelphia, Pennsylvania, United States of America.
Samuel David HurcombeDepartment of Clinical Sciences, The University of Pennsylvania School of Veterinary Medicine, New Bolton Center, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-3767-0273
University of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasma cell-free DNA (cfDNA) levels have been associated with disease and survival status in septic humans and dogs. To date, studies investigating cfDNA levels in association with critical illness in foals are lacking. We hypothesized that cfDNA would be detectable in the plasma of foals, that septic and sick-nonseptic foals would have significantly higher cfDNA levels compared to healthy foals, and that increased cfDNA levels would be associated with non-survival. Animals used include 80 foals of 10 days of age or less admitted to a tertiary referral center between January and July, 2020 were stratified into three categories: healthy (n = 34), sick non-septic (n = 11) and septic (n = 35) based on specific criteria. This was a prospective clinical study. Blood was collected from critically ill foals at admission or born in hospital for cfDNA quantification and blood culture. Previously published sepsis score (SS) and neonatal SIRS score (NSIRS) were also calculated. SS, NSIRS, blood culture status and cfDNA concentrations were evaluated to predict survival. Continuous variables between groups were compared using Kruskal-Wallis ANOVA with Dunn's post hoc test. Comparisons between two groups were assessed using the Mann-Whitney U-test or Spearman rank for correlations. The performance of cfDNA, sepsis score and NSIRS score to predict survival was assessed by receiver operator characteristic (ROC) curve analysis including area under the curve, sensitivity and specificity using cutoffs. Plasma cfDNA was detectable in all foals. No significant differences in cfDNA concentration were detected between healthy foals and septic foals (P = 0.65) or healthy foals and sick non-septic foals (P = 0.88). There was no significant association between cfDNA and culture status, SS, NSIRS or foal survival. SS (AUC 0.85) and NSIRS (AUC 0.83) were superior to cfDNA (AUC 0.64) in predicting survival. Although cfDNA was detectable in foal plasma, it offers negligible utility to diagnose sepsis or predict survival in critical illness in neonates.

Indexed as

AnimalsAnimals, NewbornCell-Free Nucleic AcidsCritical IllnessHorse DiseasesHorsesProspective StudiesROC CurveSensitivity and SpecificitySepsisSeverity of Illness IndexStatistics, NonparametricSystemic Inflammatory Response SyndromeCell-Free Nucleic Acids

Identifiers

PMID33901192
PMCPMC8075268
OpenAlexW3159064806

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.