Evidence map›Paper›PMID 31316998›Full record

ArticleFrontiers in veterinary science2019

Biomarker Guided Diagnosis of Septic Peritonitis in Dogs.

Pia Martiny, Robert Goggs

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Evaluation of risk of dehiscence in dogs and cats after gastrotomy.Canadian journal of veterinary research = Revue canadienne de recherche veterinaire · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Review
  20. Fluid Resuscitation for Refractory Hypotension.Frontiers in veterinary science · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Pia MartinyCollege of Veterinary Medicine, Cornell University, Ithaca, NY, United States.
Robert GoggsCollege of Veterinary Medicine, Cornell University, Ithaca, NY, United States.
Cornell University · USNew York State College of Veterinary Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Septic peritonitis (SP) is common in dogs and is associated with high mortality. Early recognition is essential to maximizing survival and may be aided by biomarker measurement. The present study aimed to evaluate the ability of biomarkers to discriminate septic peritonitis from non-septic ascites (NSA). Eighteen dogs with SP and 19 age-matched controls with NSA were enrolled. Contemporaneous blood and peritoneal effusion samples were obtained. Concentrations of cell-free DNA (cfDNA), cytokines, glucose, lactate, N-terminal pro-C-type natriuretic peptide (NT-proCNP), nucleosomes, and procalcitonin (PCT) were measured using commercial reagents and assays. Paired biomarker concentrations were compared with the Wilcoxon matched-pairs signed rank test, and biomarker concentrations between groups were compared with the Mann-Whitney

Indexed as

biomarkereffusiongradientlactatesepsis

Identifiers

PMID31316998
PMCPMC6610427
OpenAlexW2954640001

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.