Evidence map›Paper›PMID 29192695›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2017

Israel transcutaneous bilirubin nomogram predicts significant hyperbilirubinemia.

R Bromiker, A Goldberg, M Kaplan

Abstract read
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In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2017. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Natural history of early neonatal bilirubinemia: a global perspective.Journal of perinatology : official journal of the California Perinatal Association · 2021
    Article
  4. Article
  5. 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

3 authors.

R BromikerDepartment of Neonatology, Shaare Zedek Medical Center, Jerusalem, Israel.
A GoldbergFaculty of Medicine, The Hebrew University, Jerusalem, Israel.
M KaplanDepartment of Neonatology, Shaare Zedek Medical Center, Jerusalem, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe constructed a transcutaneous bilirubin (TcB) nomogram to represent major sectors of the Israeli population. We studied the risk of hyperbilirubinemia, defined as meeting the requirements for phototherapy, per percentile risk category. STUDY

designNewborns ⩾36 weeks gestation were tested daily for TcB, using Drager JM-103 devices, during birth hospitalization. A nomogram was constructed and divided into four risk groups and validated by calculating the need for phototherapy for each group.

resultsA total of 3303 measurements were performed on 1059 consecutive newborns including Ashkenazi, Sephardic and mixed Ashkenazi/Sephardic Jews, Arab and Ethiopian Jewish. Phototherapy risk increased progressively and more than 100-fold, from 0/225 in the <40th percentile group through 27/120 (22.5%) for those >95th percentile (relative risk (95% confidence interval) 102 (6 to 1669) for those >95th percentile compared with those <40th percentile). The optimal risk for discriminating the need for phototherapy was >75th percentile (sensitivity 93.33, specificity 59.47).

conclusionThe risk of significant hyperbilirubinemia increased progressively with increasing percentile. Newborns >75th percentile groups are at high risk for phototherapy and should be closely monitored.

Indexed as

NomogramsArabsBilirubinBiomarkersEthiopiaFemaleHumansHyperbilirubinemia, NeonatalInfant, NewbornIsraelJewsMaleNeonatal ScreeningPhototherapyPredictive Value of TestsRisk FactorsBilirubinBiomarkers

Identifiers

PMID29192695

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.