Evidence map›Paper›PMID 32626727›Full record

ArticleFrontiers in veterinary science2020

Early Prediction of Corpus Luteum Functionality Using an Imaging Software.

Angela Salzano, Marco Russo, Giuseppe Anglani, Francesca Licitra, Gianluigi Zullo, Alessio Cotticelli, Gerardo Fatone, Giuseppe Campanile

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Angela SalzanoDepartment of Veterinary Medicine and Animal Production, University of Naples Federico II, Naples, Italy.
Marco RussoDepartment of Veterinary Medicine and Animal Production, University of Naples Federico II, Naples, Italy.
Giuseppe AnglaniDepartment of Veterinary Medicine and Animal Production, University of Naples Federico II, Naples, Italy.
Francesca LicitraIstituto Zooprofilattico Sperimentale della Sicilia, Palermo, Italy.
Gianluigi ZulloDepartment of Veterinary Medicine and Animal Production, University of Naples Federico II, Naples, Italy.
Alessio CotticelliDepartment of Veterinary Medicine and Animal Production, University of Naples Federico II, Naples, Italy.
Gerardo FatoneDepartment of Veterinary Medicine and Animal Production, University of Naples Federico II, Naples, Italy.
Giuseppe CampanileDepartment of Veterinary Medicine and Animal Production, University of Naples Federico II, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to assess the applicability of luteal blood flow data acquired through the use of color Doppler ultrasonography and a post-processing analysis tool (ImageJ) for predicting pregnancy in buffaloes (

Indexed as

blood flow areabuffaloescorpus luteumpregnancy diagnosisprogesterone

Identifiers

PMID32626727
PMCPMC7314946

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.