Evidence map›Paper›PMID 35158728›Full record

ReviewAnimals : an open access journal from MDPI2022

How to Predict Parturition in Cattle? A Literature Review of Automatic Devices and Technologies for Remote Monitoring and Calving Prediction.

Martina Crociati, Lakamy Sylla, Arianna De Vincenzi, Giuseppe Stradaioli, Maurizio Monaci

Open access · goldAbstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 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
4.1field-weighted citation impact, top 5% 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, 31 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Methods of Observing the Signs of Approaching Calving in Cows-A Review.Animals : an open access journal from MDPI · 2025
    Review
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  8. Article
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  10. Review
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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

5 authors at 2 institutions in 1 country.

Martina CrociatiDepartment of Veterinary Medicine, University of Perugia, Via S. Costanzo 4, 06126 Perugia, Italy.ORCID 0000-0003-1651-7795
Lakamy SyllaDepartment of Veterinary Medicine, University of Perugia, Via S. Costanzo 4, 06126 Perugia, Italy.ORCID 0000-0002-7114-4736
Arianna De VincenziDepartment of Veterinary Medicine, University of Perugia, Via S. Costanzo 4, 06126 Perugia, Italy.
Giuseppe StradaioliDepartment of Agricultural, Food, Environmental and Animal Sciences (DI4A), University of Udine, Via Delle Scienze 206, 33100 Udine, Italy.ORCID 0000-0001-7421-4931
Maurizio MonaciDepartment of Veterinary Medicine, University of Perugia, Via S. Costanzo 4, 06126 Perugia, Italy.ORCID 0000-0002-6506-6794
University of Perugia · ITUniversity of Udine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cattle farming is facing an increase in number of animals that farmers must care for, together with decreasing time for observation of the single animal. Remote monitoring systems are needed in order to optimize workload and animal welfare. Where the presence of personnel is constant, for example in dairy farms with great number of lactating cows or with three milking/day, calving monitoring systems which send alerts during the prodromal stage of labor (stage I) could be beneficial. On the contrary, where the presence of farm personnel is not guaranteed, for example in smaller farms, systems which alert at the beginning of labor (stage II) could be preferred. In this case, time spent observing periparturient animals is reduced. The reliability of each calving alarm should also be considered: automatic sensors for body temperature and activity are characterized by a time interval of 6-12 h between the alarm and calving. Promising results have been shown by devices which could be placed within the vaginal canal, thus identifying the beginning of fetal expulsion and optimizing the timing of calving assistance. However, some cases of non-optimal local tolerability and cow welfare issues are reported. Future research should be aimed to improve Sensitivity (Se), Specificity (Sp) and Positive Predictive Value (PPV) of calving alert devices in order to decrease the number of false positive alarms and focusing on easy-to-apply, re-usable and well tolerated products.

Indexed as

calving alertcalving assistancecalving predictioncattleremote monitoring

Identifiers

PMID35158728
PMCPMC8833683
OpenAlexW4211185642

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.