Evidence map›Paper›PMID 35603565›Full record

ArticleJournal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc2022

Use of machine-learning algorithms to aid in the early detection of leptospirosis in dogs.

Krystle L Reagan, Shaofeng Deng, Junda Sheng, Jamie Sebastian, Zhe Wang, Sara N Huebner, Louise A Wenke, Sarah R Michalak, Thomas Strohmer, Jane E Sykes

Open access · hybridAbstract read
In one paragraph

Article in Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Krystle L ReaganDepartment of Medicine and Epidemiology, University of California-Davis, Davis, CA, USA.ORCID https://orcid.org/0000-0003-3426-6352
Shaofeng DengSchool of Veterinary Medicine, and Department of Mathematics, University of California-Davis, Davis, CA, USA.
Junda ShengSchool of Veterinary Medicine, and Department of Mathematics, University of California-Davis, Davis, CA, USA.
Jamie SebastianWilliam R. Pritchard Veterinary Medical Teaching Hospital, University of California-Davis, Davis, CA, USA.
Zhe WangWilliam R. Pritchard Veterinary Medical Teaching Hospital, University of California-Davis, Davis, CA, USA.ORCID https://orcid.org/0000-0001-7084-7678
Sara N HuebnerWilliam R. Pritchard Veterinary Medical Teaching Hospital, University of California-Davis, Davis, CA, USA.
Louise A WenkeWilliam R. Pritchard Veterinary Medical Teaching Hospital, University of California-Davis, Davis, CA, USA.
Sarah R MichalakWilliam R. Pritchard Veterinary Medical Teaching Hospital, University of California-Davis, Davis, CA, USA.
Thomas StrohmerSchool of Veterinary Medicine, and Department of Mathematics, University of California-Davis, Davis, CA, USA.
Jane E SykesDepartment of Medicine and Epidemiology, University of California-Davis, Davis, CA, USA.
University of California, Davis · USVeterinary Medical Teaching Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leptospirosis is a life-threatening, zoonotic disease with various clinical presentations, including renal injury, hepatic injury, pancreatitis, and pulmonary hemorrhage. With prompt recognition of the disease and treatment, 90% of infected dogs have a positive outcome. Therefore, rapid, early diagnosis of leptospirosis is crucial. Testing for

Indexed as

Dog DiseasesLeptospiraLeptospirosisAgglutination TestsAlgorithmsAnimalsAntibodies, BacterialDogsEarly DiagnosisHumansMachine LearningAntibodies, Bacterialartificial intelligencedogsinfectionkidneyLeptospira

Identifiers

PMID35603565
PMCPMC9266510
OpenAlexW4281255420

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.