Evidence map›Paper›PMID 27994302›Full record

ArticleMedical archives (Sarajevo, Bosnia and Herzegovina)2016

Modern Strategy for Identification of Congenital Heart Defects in the Neonatal Period.

Mediha Kardasevic, Ida Jovanovic, Jelica Predojevic Samardzic

Abstract read
In one paragraph

Article in Medical archives (Sarajevo, Bosnia and Herzegovina), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pulse oximetry screening for critical congenital heart defects.The Cochrane database of systematic reviews · 2018
    Pooled it
  2. 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

3 authors.

Mediha KardasevicCantonal hospital Bihac, Bihac, Bosnia and Herzegovina.
Ida JovanovicUniversity Children's Hospital Tirsova, Belgrade, Serbia.
Jelica Predojevic SamardzicUniversity Clinical Center of Banja Luka, Banja Luka, Bosnia and Herzegovina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCongenital heart defects are the most common congenital anomalies and occur with an incidence from 0.8 to 1% per 1000 live births. In recent years, the pulse oximetry has become a strong candidate for detecting cyanogen congenital heart defects and in combination with routine clinical exam can improve diagnostic of congenital heart diseases.

objectiveTo apply the modern algorithm for early detection of congenital heart defects in order to improve the diagnosis in the neonatal period. PATIENTS AND

methodsThis was a prospective study that included children born in Bihac Cantonal Hospital during 2012. The diagnostic algorithm included a clinical examination of the newborn, measuring of transcutaneous oxygen saturation with the pulse oximeter between 24 and 48 hours of life, and, in some cases, additional tests (cardiac ultrasound).

resultsA total of 1,865 children were examined. The application of diagnostic protocol identified the existence of congenital heart defects in 29 children. In re-evaluating the auscultator and ultrasound findings, we identified congenital heart defects in 19 children.

conclusionThe application of the modern algorithm for early detection of congenital heart diseases in the neonatal period can significantly improve the making of diagnosis of these anomalies. The concept is simple, inexpensive and applicable in most maternity wards.

Indexed as

AlgorithmsEarly DiagnosisFemaleHeart Defects, CongenitalHumansInfant, NewbornMaleOximetryProspective Studiescongenital heart defectsnewbornpulse oximetry

Identifiers

PMID27994302
PMCPMC5136435

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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.