Evidence map›Paper›PMID 32299375›Full record

SynthesisBMC pregnancy and childbirth2020

Human Development Index of the maternal country of origin and its relationship with maternal near miss: A systematic review of the literature.

Santiago García-Tizón Larroca, Francisco Amor Valera, Esther Ayuso Herrera, Ignacio Cueto Hernandez, Yolanda Cuñarro Lopez, Juan De Leon-Luis

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC pregnancy and childbirth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
7.5field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Maternal Death: Retrospective Autopsy Study in Southwestern Colombia, 2000-2023.International journal of environmental research and public health · 2025
    Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Performance indicators of Primary Care of the Previne Brasil Program.Revista latino-americana de enfermagem · 2023
    Observational
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Article
  18. 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

6 authors at 1 institution in 1 country.

Santiago García-Tizón LarrocaMaternal Fetal Medicine, Department of Obstetrics and Gynaecology, HGUGM, Calle O' Donnell, 48, Planta 0, 28009, Madrid, Spain. gineteca@gmail.com.
Francisco Amor ValeraMaternal Fetal Medicine, Department of Obstetrics and Gynaecology, HGUGM, Calle O' Donnell, 48, Planta 0, 28009, Madrid, Spain.
Esther Ayuso HerreraMaternal Fetal Medicine, Department of Obstetrics and Gynaecology, HGUGM, Calle O' Donnell, 48, Planta 0, 28009, Madrid, Spain.
Ignacio Cueto HernandezMaternal Fetal Medicine, Department of Obstetrics and Gynaecology, HGUGM, Calle O' Donnell, 48, Planta 0, 28009, Madrid, Spain.
Yolanda Cuñarro LopezMaternal Fetal Medicine, Department of Obstetrics and Gynaecology, HGUGM, Calle O' Donnell, 48, Planta 0, 28009, Madrid, Spain.
Juan De Leon-LuisMaternal Fetal Medicine, Department of Obstetrics and Gynaecology, HGUGM, Calle O' Donnell, 48, Planta 0, 28009, Madrid, Spain.
Universidad Complutense de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe reduction in maternal mortality worldwide has increased the interest in studying more frequent severe events such as maternal near miss. The Human Development Index is a sociodemographic country-specific variable that includes key human development indicators such as living a long and healthy life, acquiring knowledge, and enjoying a decent standard of living, allowing differentiation between countries. In a globalised environment, it is necessary to study whether the Human Development Index of each patient's country of origin can be associated with the maternal near-miss rate and thus classify the risk of maternal morbidity and mortality.

methodsA systematic review of the literature published between 2008 and 2019 was conducted, including all articles that reported data about maternal near miss in their sample of pregnant women, in addition to describing the study countries of their sample population. The Human Development Index of the study country, the maternal near-miss rate, the maternal mortality rate, and other maternal-perinatal variables related to morbidity and mortality were used.

resultsAfter the systematic review, eighty two articles from over thirty countries were included, for a total of 3,699,697 live births, 37,191 near miss cases, and 4029 mortality cases. A statistically significant (p <0.05) inversely proportional relationship was observed between the Human Development Index of the study country and the maternal near-miss and mortality rates. The most common cause of maternal near miss was haemorrhage, with an overall rate of 38.5%, followed by hypertensive disorders of pregnancy (34.2%), sepsis (7.5%), and other undefined causes (20.9%).

conclusionsThe Human Development Index of the maternal country of origin is a sociodemographic variable allowing differentiation and classification of the risk of maternal mortality and near miss in pregnant women. The most common cause of maternal near miss published in the literature was haemorrhage.

trial registrationPROSPERO ID: CRD 42019133464.

Indexed as

Human DevelopmentMaternal MortalityFemaleHumansLive BirthMorbidityNear Miss, HealthcarePregnancyPregnancy ComplicationsSocioeconomic FactorsHuman Development IndexImmigrantsMaternal mortalityMaternal near miss

Identifiers

PMID32299375
PMCPMC7164222
OpenAlexW3016967959

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.