Evidence map›Paper›PMID 31178635›Full record

ArticleJournal of obstetrics and gynaecology of India2019

One-Year Follow-Up of Women with Severe Acute Maternal Morbidity (SAMM): A Cohort Study.

Shobha A Alluvala, Nuzhat Aziz, Ashwin Tumkur, Hari K Boorugu

Abstract read
In one paragraph

Article in Journal of obstetrics and gynaecology of India, 2019. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Observational
  4. Suicide and Maternal Mortality.Current psychiatry reports · 2022
    Review
  5. Maternal near miss events in India.The Indian journal of medical research · 2021
    Review
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

4 authors.

Shobha A Alluvala1Department of Obstetrics, Fernandez Hospital, 4-1-1230, Bogulkunta, Abids, Hyderabad, 500001 India.
Nuzhat Aziz1Department of Obstetrics, Fernandez Hospital, 4-1-1230, Bogulkunta, Abids, Hyderabad, 500001 India.
Ashwin Tumkur2Consultant Interventional Cardiologist, Fernandez Hospital, 4-1-1230, Bogulkunta, Abids, Hyderabad, 500001 India.
Hari K Boorugu3Consultant Physician, Fernandez Hospital, 4-1-1230, Bogulkunta, Abids, Hyderabad, 500001 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSome women experience unforeseen complications during pregnancy and childbirth, which may be life threatening; their survival depends on intensive support and timely interventions. The aim of this study was to assess the long-term prevalence of adverse health conditions and their impact on quality of life in women who had severe acute maternal morbidity (SAMM).

methodsThis is a prospective cohort study comprising 43 women with SAMM during 2015 (exposure group) and 43 women who had an uneventful pregnancy and delivery (non-exposure group) during the same study period. Those who consented were given an additional follow-up date for free medical health check at 1 year.

resultsThe incidence of SAMM during study period was 8.6/1000 births. There were five deaths in the exposure group. Adverse health events were seen in 30 (78.94%) out of 38 survivors. Abnormal lipid profile, thrombocytopenia, cardiac diastolic dysfunction, amenorrhoea, Sheehan and Asherman syndrome were major findings in the exposed group. Four (10.52%) women required re-admission, and eight (20.05%) required additional procedures to confirm screening abnormalities. The exposure group had higher mean scores on the EPDS scale, incidence of suicidal thoughts and poorer performance in the WHOQOL BREF psychological domain.

conclusionHealth programmes need to focus on maternal health, provide medical treatment and psychological support for a longer duration than the traditional 6 weeks postpartum in women who experience SAMM.

Indexed as

Follow-upIndiaNear missPregnancySevere maternal morbidity

Identifiers

PMID31178635
PMCPMC6531497

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