Evidence map›Paper›PMID 37055204›Full record

ArticleBMJ open2023

Factors influencing the choice-of-care pathway and survival in the fetus with hypoplastic left heart syndrome in New Zealand: a population-based cohort study.

Natalie Soszyn, Elza Cloete, Lynn Sadler, Monique W M de Laat, Sue Crengle, Frank Bloomfield, Kirsten Finucane, Thomas L Gentles

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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 3 institutions in 1 country.

Natalie SoszynGreen Lane Paediatric and Congenital Cardiac Service, Starship Children's Hospital, Te Whatu Ora - Health New Zealand, Te Toka Tumai Auckland, Auckland, New Zealand.
Elza CloeteThe University of Auckland Liggins Institute, Auckland, New Zealand.
Lynn SadlerWomen's Health, Auckland City Hospital, Te Whatu Ora - Health New Zealand, Te Toka Tumai Auckland, Auckland, New Zealand.
Monique W M de LaatWomen's Health, Auckland City Hospital, Te Whatu Ora - Health New Zealand, Te Toka Tumai Auckland, Auckland, New Zealand.
Sue CrengleOtago Medical School Department of Preventive and Social Medicine, Dunedin, New Zealand.ORCID 0000-0001-9367-1492
Frank BloomfieldThe University of Auckland Liggins Institute, Auckland, New Zealand.
Kirsten FinucaneGreen Lane Paediatric and Congenital Cardiac Service, Starship Children's Hospital, Te Whatu Ora - Health New Zealand, Te Toka Tumai Auckland, Auckland, New Zealand.
Thomas L GentlesGreen Lane Paediatric and Congenital Cardiac Service, Starship Children's Hospital, Te Whatu Ora - Health New Zealand, Te Toka Tumai Auckland, Auckland, New Zealand tomg@adhb.govt.nz.ORCID 0000-0001-6149-2596
University of Auckland · NZStarship Children's Health · NZAuckland City Hospital · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo better understand the relative influence of fetal and maternal factors in determining the choice-of-care pathway (CCP) and outcome in the fetus with hypoplastic left heart syndrome (HLHS).

designA retrospective, population-based study of fetuses with HLHS from a national dataset with near-complete case ascertainment from 20 weeks' gestation. Fetal cardiac and non-cardiac factors were recorded from the patient record and maternal factors from the national maternity dataset. The primary endpoint was a prenatal decision for active treatment after birth (intention-to-treat). Factors associated with a delayed diagnosis (≥24 weeks' gestation) were also reviewed. Secondary endpoints included proceeding to surgical treatment, and 30-day postoperative mortality in liveborns with an intention-to-treat.

settingNew Zealand population-wide.

participantsFetuses with a prenatal diagnosis of HLHS between 2006 and 2015.

resultsOf 105 fetuses, the CCP was intention-to-treat in 43 (41%), and pregnancy termination or comfort care in 62 (59%). Factors associated with intention-to-treat by multivariable analysis included a delay in diagnosis (OR: 7.8, 95% CI: 3.0 to 20.6, p<0.001) and domicile in the maternal fetal medicine (MFM) region with the most widely dispersed population (OR: 5.3, 95% CI: 1.4 to 20.3, p=0.02). Delay in diagnosis was associated with Māori maternal ethnicity compared with European (OR: 12.9, 95% CI: 3.1 to 54, p<0.001) and greater distance from the MFM centre (OR: 3.1, 95% CI: 1.2 to 8.2, p=0.02). In those with a prenatal intention-to-treat, a decision not to proceed to surgery was associated with maternal ethnicity other than European (p=0.005) and the presence of major non-cardiac anomalies (p=0.01). Thirty-day postoperative mortality occurred in 5/32 (16%) and was more frequent when there were major non-cardiac anomalies (p=0.02).

conclusionsFactors associated with the prenatal CCP relate to healthcare access. Anatomic characteristics impact treatment decisions after birth and early postoperative mortality. The association of ethnicity with delayed prenatal diagnosis and postnatal decision-making suggests systemic inequity and requires further investigation.

Indexed as

Hypoplastic Left Heart SyndromeCohort StudiesCritical PathwaysFemaleFetusHumansNew ZealandPregnancyRetrospective StudiesUltrasonography, Prenatalcongenital heart diseasefetal medicinepaediatric cardiac surgerypaediatric cardiology

Identifiers

PMID37055204
PMCPMC10106067
OpenAlexW4365459012

What OpenQuestion holds

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LicenceCC BY-NC
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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.