Evidence map›Paper›PMID 26779279›Full record

ArticleComputational and mathematical methods in medicine2015

Evaluation of the Acceleration and Deceleration Phase-Rectified Slope to Detect and Improve IUGR Clinical Management.

Salvatore Tagliaferri, Andrea Fanelli, Giuseppina Esposito, Francesca Giovanna Esposito, Giovanni Magenes, Maria Gabriella Signorini, Marta Campanile, Pasquale Martinelli

Open access · hybridAbstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and mathematical methods in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  5. Review
  6. Observational
  7. Article
  8. Deceleration and acceleration capacities of heart rate in patients with drug-resistant epilepsy.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2019
    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 at 4 institutions in 2 countries.

Salvatore TagliaferriDepartment of Obstetrical-Gynaecological and Urological Science and Reproductive Medicine, Federico II University, 5 Pansini Street, 80131 Naples, Italy.
Andrea FanelliComputational Physiology and Clinical Inference Group, Research Laboratory of Electronics, Massachusetts Institute of Technology, 25 Carleton Street, Cambridge, MA 02139, USA.
Giuseppina EspositoDepartment of Obstetrical-Gynaecological and Urological Science and Reproductive Medicine, Federico II University, 5 Pansini Street, 80131 Naples, Italy.
Francesca Giovanna EspositoDepartment of Obstetrical-Gynaecological and Urological Science and Reproductive Medicine, Federico II University, 5 Pansini Street, 80131 Naples, Italy.
Giovanni MagenesDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, 5 Ferrata Street, 27100 Pavia, Italy.
Maria Gabriella SignoriniDipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy.
Marta CampanileDepartment of Obstetrical-Gynaecological and Urological Science and Reproductive Medicine, Federico II University, 5 Pansini Street, 80131 Naples, Italy.
Pasquale MartinelliDepartment of Obstetrical-Gynaecological and Urological Science and Reproductive Medicine, Federico II University, 5 Pansini Street, 80131 Naples, Italy.
Federico II University Hospital · ITMassachusetts Institute of Technology · USPolitecnico di Milano · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study used a new method called Acceleration (or Deceleration) Phase-Rectified Slope, APRS (or DPRS) to analyze computerized Cardiotocographic (cCTG) traces in intrauterine growth restriction (IUGR), in order to calculate acceleration- and deceleration-related fluctuations of the fetal heart rate, and to enhance the prediction of neonatal outcome.

methodCardiotocograms from a population of 59 healthy and 61 IUGR fetuses from the 30th gestation week matched for gestational age were included. APRS and DPRS analysis was compared to the standard linear and nonlinear cCTG parameters. Statistical analysis was performed through the t-test, ANOVA test, Pearson correlation test and receiver operator characteristic (ROC) curves (p < 0, 05).

resultsAPRS and DPRS showed high performance to discriminate between Healthy and IUGR fetuses, according to gestational week. A linear correlation with the fetal pH at birth was found in IUGR. The area under the ROC curve was 0.865 for APRS and 0.900 for DPRS before the 34th gestation week.

conclusionsAPRS and DPRS could be useful in the identification and management of IUGR fetuses and in the prediction of the neonatal outcome, especially before the 34th week of gestation.

Indexed as

Heart Rate, FetalAdultAlgorithmsCardiotocographyCase-Control StudiesComputational BiologyFemaleFetal Growth RetardationGestational AgeHumansInfant, NewbornLinear ModelsMaleNonlinear DynamicsPregnancyPregnancy Outcome

Identifiers

PMID26779279
PMCPMC4687338
OpenAlexW2190136384

What OpenQuestion holds

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Registered trials

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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.