Evidence map›Paper›PMID 18325253›Full record

ArticleEmerging infectious diseases2008

Exposure to novel parainfluenza virus and clinical relevance in 2 bottlenose dolphin (Tursiops truncatus) populations.

Stephanie Venn-Watson, Rebecca Rivera, Cynthia R Smith, Jeremiah T Saliki, Shannon Caseltine, Judy St Leger, Pam Yochem, Randall S Wells, Hendrik Nollens

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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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

9 authors at 7 institutions in 1 country.

Stephanie Venn-WatsonUS Navy Marine Mammal Program, SSC San Diego, 53560 Hull St, Code 71510, San Diego, CA 92152, USA. stephanie.wong@navy.mil
Rebecca Rivera
Cynthia R Smith
Jeremiah T Saliki
Shannon Caseltine
Judy St Leger
Pam Yochem
Randall S Wells
Hendrik Nollens
Engineering and Software System Solutions (United States) · USMote Marine Laboratory · USNational Marine Mammal Foundation · USOklahoma State University · USSeaWorld San Diego · USUnited States Department of the Navy · USUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parainfluenza virus (PIV) is a leading cause of respiratory infections in humans. A novel virus closely related to human and bovine parainfluenza viruses types 3 (HPIV-3 and BPIV-3), named Tursiops truncatus parainfluenza virus type 1 (TtPIV-1), was isolated from a dolphin with respiratory disease. We developed a dolphin-specific ELISA to measure acute- and convalescent-phase PIV antibodies in dolphins during 1999-2006 with hemograms similar to that of the positive control. PIV seroconversion occurred concurrently with an abnormal hemogram in 22 animals, of which 7 (31.8%) had respiratory signs. Seroprevalence surveys were conducted on 114 healthy bottlenose dolphins in Florida and California. When the most conservative interpretation of positive was used, 11.4% of healthy dolphins were antibody positive, 29.8% were negative, and 58.8% were inconclusive. PIV appears to be a common marine mammal virus that may be of human health interest because of the similarity of TtPIV-1 to BPIV-3 and HPIV-3.

Indexed as

AnimalsAntibodies, ViralAntigens, ViralBottle-Nosed DolphinCaliforniaEnzyme-Linked Immunosorbent AssayFemaleFloridaMaleParamyxoviridae InfectionsRespirovirusAntibodies, ViralAntigens, Viral

Identifiers

PMID18325253
PMCPMC2570820
OpenAlexW2126449773

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.