Evidence map›Paper›PMID 34960442›Full record

ArticleSensors (Basel, Switzerland)2021

Assessment of Sensitivity and Profitability of an Intravaginal Sensor for Remote Calving Prediction in Dairy Cattle.

Martina Crociati, Lakamy Sylla, Giuseppe Stradaioli, Maurizio Monaci, Alfonso Zecconi

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
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 3 institutions in 1 country.

Martina CrociatiDepartment of Veterinary Medicine, University of Perugia, 06126 Perugia, Italy.ORCID 0000-0003-1651-7795
Lakamy SyllaDepartment of Veterinary Medicine, University of Perugia, 06126 Perugia, Italy.ORCID 0000-0002-7114-4736
Giuseppe StradaioliDepartment of Agricultural, Food, Environmental and Animal Sciences (DI4A), University of Udine, 33100 Udine, Italy.ORCID 0000-0001-7421-4931
Maurizio MonaciDepartment of Veterinary Medicine, University of Perugia, 06126 Perugia, Italy.ORCID 0000-0002-6506-6794
Alfonso ZecconiSurgical and Dental Sciences-One Health Unit, Department of Biomedical, University of Milano, 20133 Milano, Italy.ORCID 0000-0002-3127-8385
University of Perugia · ITUniversity of Milan · ITUniversity of Udine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One critical point of dairy farm management is calving and neonatal first care. Timely calving assistance is associated with the reduction of calf mortality and postpartum uterine disease, and with improved fertility in dairy cattle. This study aimed to evaluate the performance and profitability of an intravaginal sensor for the prediction of stage II of labor in dairy farms, thus allowing proper calving assistance. Seventy-three late-gestating Italian Holstein cows were submitted to the insertion of an intravaginal device, equipped with light and temperature sensors, connected with a Central Unit for the commutation of a radio-signal into a cell phone alert. The remote calving alarm correctly identified the beginning of the expulsive phase of labor in 86.3% of the monitored cows. The mean interval from alarm to complete expulsion of the fetus was 71.56 ± 52.98 min, with a greater range in cows with dystocia (

Indexed as

Cattle DiseasesLabor, ObstetricAnimalsCattleFemaleLactationMaleMonitoring, PhysiologicParturitionPregnancySemencattleGSMintravaginal devicelight sensorremote calving alerttemperature sensor

Identifiers

PMID34960442
PMCPMC8706507
OpenAlexW4200058261

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.