Evidence map›Paper›PMID 37125389›Full record

SynthesisGlobal heart2023

Prevention and Screening for Cardiometabolic Disease Following Hypertensive Disorders in Pregnancy in Low-Resource Settings: A Systematic Review and Delphi Study.

Salisu Mohammed Ishaku, Kwame Adu-Bonsaffoh, Natasha Housseine, Roberta Lamptey, Arie Franx, Diederick Grobbee, Charlotte E Warren, Joyce L Browne

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Global heart, 2023. 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
2.1field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

8 authors at 5 institutions in 4 countries.

Salisu Mohammed IshakuJulius Global Health, Julius Center for Health Science and Primary Care, University Medical Center, Utrecht, NL.ORCID 0000-0001-7523-8812
Kwame Adu-BonsaffohJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands.ORCID 0000-0002-3741-6646
Natasha HousseineJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands.ORCID 0000-0002-1849-7815
Roberta LampteyJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands.ORCID 0000-0002-4260-9442
Arie FranxDepartment of Obstetrics and Gynecology, Erasmus Medical Center, Rotterdam, NL.ORCID 0000-0001-8801-5546
Diederick GrobbeeJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands.ORCID 0000-0003-4472-4468
Charlotte E WarrenPopulation Council, Washington, DC, US.ORCID 0000-0002-1361-2618
Joyce L BrowneJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands.ORCID 0000-0001-7048-3245
Utrecht University · NLErasmus MC · NLPopulation Council · USUniversity Medical Center Utrecht · NLUniversity of Ghana · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertensive disorders in pregnancy (HDP) and cardiometabolic and kidney diseases are rising in low- and middle-income countries (LMICs). While HDP are risk factors for cardiometabolic and kidney diseases, cost-effective, scalable strategies for screening and prevention in women with a history of HDP are lacking. Existing guidelines and recommendations require adaptation to LMIC settings. This article aims to generate consensus-based recommendations for the prevention and screening of cardiometabolic and kidney diseases tailored for implementation in LMICs. We conducted a systematic review of guidelines and recommendations for prevention and screening strategies for cardiometabolic and chronic kidney diseases following HDP. We searched PubMed/Medline, Embase and Cochrane Library for relevant articles and guidelines published from 2010 to 2021 from both high-income countries (HICs) and LMICs. No other filters were applied. References of included articles were also assessed for eligibility. Findings were synthesized narratively. The summary of guiding recommendations was subjected to two rounds of Delphi consensus surveys with experts experienced in LMIC settings. Fifty-four articles and 9 guidelines were identified, of which 25 were included. Thirty-five clinical recommendations were synthesized from these and classified into six domains: identification of women with HDP (4 recommendations), timing of first counseling and provision of health education (2 recommendations), structure and care setting (12 recommendations), information and communication needs (5 recommendations), cardiometabolic biomarkers (8 recommendations) and biomarkers thresholds (4 recommendations). The Delphi panel reached consensus on 33 final recommendations. These recommendations for health workers in LMICs provide practical and scalable approaches for effective screening and prevention of cardiometabolic disease following HDP. Monitoring and evaluation of implementation of these recommendations provide opportunities for reducing the escalating burden of noncommunicable diseases in LMICs.

Indexed as

Hypertension, Pregnancy-InducedBiomarkersDelphi TechniqueFemaleHealth EducationHumansPregnancyRisk FactorsBiomarkersHypertensive disorders in pregnancyprevention and screening strategiesrisks of future cardiometabolic diseases

Identifiers

PMID37125389
PMCPMC10143945
OpenAlexW4366985731

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.