Evidence map›Paper›PMID 37697325›Full record

Observational studyBMC medicine2023

Maternal multimorbidity and preterm birth in Scotland: an observational record-linkage study.

Amaya Azcoaga-Lorenzo, Adeniyi Francis Fagbamigbe, Utkarsh Agrawal, Mairead Black, Muhammad Usman, Siang Ing Lee, Kelly-Ann Eastwood, Ngawai Moss, Rachel Plachcinski, Catherine Nelson-Piercy and 5 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 4 pooled it
3.2field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 4 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  8. 'It Was a Bit of a Now or Never Situation': Experiences of Preconception Care and Support for Women With Multiple Long-Term Health Conditions.Health expectations : an international journal of public participation in health care and health policy · 2026
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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

15 authors at 6 institutions in 3 countries.

Amaya Azcoaga-LorenzoDivision of Population and Behavioural Sciences, School of Medicine, University of St Andrews, St Andrews, UK. aal22@st-andrews.ac.uk.ORCID http://orcid.org/0000-0003-3307-878X
Adeniyi Francis FagbamigbeDivision of Population and Behavioural Sciences, School of Medicine, University of St Andrews, St Andrews, UK.ORCID http://orcid.org/0000-0001-9184-8258
Utkarsh AgrawalDivision of Population and Behavioural Sciences, School of Medicine, University of St Andrews, St Andrews, UK.ORCID http://orcid.org/0000-0001-5181-6120
Mairead BlackAberdeen Centre for Women's Health Research, School of Medicine, Medical Science and Nutrition, University of Aberdeen, Aberdeen, UK.ORCID http://orcid.org/0000-0002-6841-8601
Muhammad UsmanDivision of Population and Behavioural Sciences, School of Medicine, University of St Andrews, St Andrews, UK.ORCID http://orcid.org/0000-0002-6383-4323
Siang Ing LeeInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-2332-5452
Kelly-Ann EastwoodCentre for Public Health, Queen's University of Belfast, Belfast, UK.ORCID http://orcid.org/0000-0003-3689-0490
Ngawai MossPatient and Public Representative, London, UK.ORCID http://orcid.org/0000-0001-9369-5072
Rachel PlachcinskiPatient and Public Representative, London, UK.ORCID http://orcid.org/0000-0001-9908-0773
Catherine Nelson-PiercyGuy's and St. Thomas' NHS Foundation Trust, London, UK.ORCID http://orcid.org/0000-0001-9311-1196
Sinead BrophyData Science, Medical School, Swansea University, Swansea, UK.ORCID http://orcid.org/0000-0001-7417-2858
Dermot O'ReillyCentre for Public Health, Queen's University of Belfast, Belfast, UK.ORCID http://orcid.org/0000-0002-9181-0652
Krishnarajah NirantharakumarInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-6816-1279
Colin McCowanDivision of Population and Behavioural Sciences, School of Medicine, University of St Andrews, St Andrews, UK.ORCID http://orcid.org/0000-0002-9466-833X
MuM-PreDiCT Group
University of St Andrews · GBQueen's University Belfast · GBUniversity of Birmingham · GBGuy's and St Thomas' NHS Foundation Trust · GBSwansea University · GBUniversity of Aberdeen · GB

Funding

Medical Research Council MR/V005243/1Medical Research Council MR/W014432/1
6 · The paper itself

Abstract

backgroundMultimorbidity is common in women across the life course. Preterm birth is the single biggest cause of neonatal mortality and morbidity. We aim to estimate the prevalence of multimorbidity in pregnant women and to examine the association between maternal multimorbidity and PTB.

methodsThis is a retrospective cohort study using electronic health records from the Scottish Morbidity Records. All pregnancies among women aged 15 to 49 with a conception date between 1 January 2014 and 31 December 2018 were included. Multimorbidity was defined as the presence of two or more pre-existing long-term physical or mental health conditions, and complex multimorbidity as the presence of four or more. It was calculated at the time of conception using a predefined list of 79 conditions published by the MuM-PreDiCT consortium. PTB was defined as babies born alive between 24 and less than 37 completed weeks of gestation. We used Generalised Estimating Equations adjusted for maternal age, socioeconomic status, number of previous pregnancies, BMI, and smoking history to estimate the effect of maternal pre-existing multimorbidity. Absolut rates are reported in the results and tables, whilst Odds Ratios (ORs) are adjusted (aOR).

resultsThirty thousand five hundred fifty-seven singleton births from 27,711 pregnant women were included in the analysis. The prevalence of pre-existing multimorbidity and complex multimorbidity was 16.8% (95% CI: 16.4-17.2) and 3.6% (95% CI: 3.3-3.8), respectively. The prevalence of multimorbidity in the youngest age group was 10.2%(95% CI: 8.8-11.6), while in those 40 to 44, it was 21.4% (95% CI: 18.4-24.4), and in the 45 to 49 age group, it was 20% (95% CI: 8.9-31.1). In women without multimorbidity, the prevalence of PTB was 6.7%; it was 11.6% in women with multimorbidity and 15.6% in women with complex multimorbidity. After adjusting for maternal age, socioeconomic status, number of previous pregnancies, Body Mass Index (BMI), and smoking, multimorbidity was associated with higher odds of PTB (aOR = 1.64, 95% CI: 1.48-1.82).

conclusionsMultimorbidity at the time of conception was present in one in six women and was associated with an increased risk of preterm birth. Multimorbidity presents a significant health burden to women and their offspring. Routine and comprehensive evaluation of women with multimorbidity before and during pregnancy is urgently needed.

Indexed as

Premature BirthFamilyFemaleHumansInfantInfant, NewbornMiddle AgedMultimorbidityPregnancyRetrospective StudiesScotlandElectronic health recordsGeneralised Estimating EquationMultimorbidityPregnancyPremature birth

Identifiers

PMID37697325
PMCPMC10496247
OpenAlexW4386594441

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.