Evidence map›Paper›PMID 30700313›Full record

ArticleOrphanet journal of rare diseases2019

Incidental screen positive findings in a prospective cohort study in Matlab, Bangladesh: insights into expanded newborn screening for low-resource settings.

Malia S Q Murphy, Pranesh Chakraborty, Jesmin Pervin, Anisur Rahman, Lindsay A Wilson, Monica Lamoureux, Kathryn Denize, Matthew Henderson, Steve Hawken, Beth K Potter and 2 more

Open access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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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

12 authors at 6 institutions in 2 countries.

Malia S Q MurphyClinical Epidemiology Program, Ottawa Hospital Research Institute, 1053 Carling Ave, Ottawa, K1Y 4E9, Canada.
Pranesh ChakrabortyNewborn Screening Ontario, Children's Hospital of Eastern Ontario, 401 Smyth Rd, Ottawa, K1H 5B2, Canada.
Jesmin PervinInternational Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Anisur RahmanInternational Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Lindsay A WilsonClinical Epidemiology Program, Ottawa Hospital Research Institute, 1053 Carling Ave, Ottawa, K1Y 4E9, Canada.
Monica LamoureuxNewborn Screening Ontario, Children's Hospital of Eastern Ontario, 401 Smyth Rd, Ottawa, K1H 5B2, Canada.
Kathryn DenizeNewborn Screening Ontario, Children's Hospital of Eastern Ontario, 401 Smyth Rd, Ottawa, K1H 5B2, Canada.
Matthew HendersonNewborn Screening Ontario, Children's Hospital of Eastern Ontario, 401 Smyth Rd, Ottawa, K1H 5B2, Canada.
Steve HawkenClinical Epidemiology Program, Ottawa Hospital Research Institute, 1053 Carling Ave, Ottawa, K1Y 4E9, Canada.
Beth K PotterSchool of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, K1G 5Z3, Canada.
Julian LittleSchool of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, K1G 5Z3, Canada.
Kumanan WilsonClinical Epidemiology Program, Ottawa Hospital Research Institute, 1053 Carling Ave, Ottawa, K1Y 4E9, Canada. kwilson@ohri.ca.
Ottawa Hospital · CAChildren's Hospital of Eastern Ontario · CAInternational Centre for Diarrhoeal Disease Research · BDNewborn Screening Ontario · CAUniversity of Ottawa · CAOttawa Hospital Research Institute

Funding

Bill & Melinda Gates Foundation OPP1141535
6 · The paper itself

Abstract

backgroundNewborn screening programs are essential preventative public health initiatives but are not widely available in low-resource settings. The objective of this study was to describe the frequency and nature of screen positive determinations as made by a Canadian newborn screening program in a cohort of infants born in Matlab, Bangladesh. Dried newborn cord and heel-prick blood spot samples collected as part of a validation study nested within a preterm birth research cohort were collected between January 2017 and July 2018 and analyzed in a Canadian newborn screening laboratory where the laboratory's disease panel and screening thresholds were applied.

resultsA total of 1661 newborn samples (520 heel-prick and 1141 cord blood samples) were available for analysis. Based on the applied screening thresholds, 61 samples (22 by heel-prick and 39 by cord blood) were screen positive for conditions included in the Canadian disease panel. Congenital hypothyroidism was the most common determination for heel-prick (n = 17) and cord blood (n = 12) samples. Carriers of hemoglobinopathy variants were identified in 6.9% of both tested heel-prick and cord blood samples.

conclusionsThis study provides insight into the nature and frequency of treatable congenital conditions in a rural Bangladesh community where such data were previously unavailable. As comment to the feasibility of newborn screening in the region we confirm that screening based on cord blood sampling continues to be the most acceptable modality to parents in such settings. Acknowledged barriers include early infant discharge, which may affect the reliability of initial screening thresholds to determine disease risk. We further highlight the importance of continuing efforts in the country to identify infants with congenital hypothyroidism.

Indexed as

BangladeshCongenital HypothyroidismFemaleHumansInfantInfant, NewbornMaleNeonatal ScreeningProspective StudiesThyrotropinThyrotropinCongenital disordersCongenital hypothyroidismHemoglobin disordersNewborn screening

Identifiers

PMID30700313
PMCPMC6354381
OpenAlexW2922227428

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.