Evidence map›Paper›PMID 35360779›Full record

ArticleJournal of family medicine and primary care2022

Maternal Mortality in the Remote Islands of India-Unraveling the Conundrum.

Anita Yadav, Avinash Prakash, Charu Sharma, Mrinmoy Kumar Saha, Seema Yadav, Jyoti Baghel, Anusha Kamath

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
6.1field-weighted citation impact, top 4% 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

1 citing paper in PubMed, 16 citations in OpenAlex.

  1. 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

7 authors at 4 institutions in 1 country.

Anita YadavDepartment of Obstetrics and Gynecology, AIIMS Nagpur, Maharashtra, India.
Avinash PrakashDepartment of Anesthesiology, AIIMS Nagpur, Maharashtra, India.
Charu SharmaDepartment of Obstetrics and Gynecology, AIIMS Jodhpur, Rajasthan, India.
Mrinmoy Kumar SahaDepartment of Obstetrics and Gynecology, ANIIMS, Port Blair, Andaman and Nicobar Islands, India.
Seema YadavDepartment of Obstetrics and Gynecology, ANIIMS, Port Blair, Andaman and Nicobar Islands, India.
Jyoti BaghelDepartment of Obstetrics and Gynecology, AIIMS Nagpur, Maharashtra, India.
Anusha KamathDepartment of Obstetrics and Gynecology, AIIMS Nagpur, Maharashtra, India.
All India Institute of Medical Sciences Bhopal · INAll India Institute of Medical Sciences Raipur · INICAR - Central Island Agricultural Research Institute · INAll India Institute of Medical Sciences Jodhpur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Reduction in maternal mortality has been a top priority in low- and lower middle-income countries of Asia-Pacific region. India, being one of them, has a major responsibility of reducing maternal mortality especially in light of the commitment on the part of the Sustainable Development Goals. Despite massive efforts and availability of technology needed to avert maternal deaths, the maternal mortality ratio (MMR) in India continues to be high especially in remote areas. This study aims at collecting the MMR data and analyzing in the context of island infrastructure. Material and Methods: This was a hospital-based cross-sectional study. The records of maternal deaths from January 2010 to December 2019 were collected from the medical record section and analyzed. Results: The MMR was estimated to be 95.63 per 100,000 live births. Majority of the patients were multigravida (82%) in the age group of 21 to 30 years (75%). Around 64% of them were referred cases. Majority (86%) of the deaths occurred in the postpartum period. Hemorrhage was the leading direct cause of maternal deaths (35.7%) followed by hypertensive disorders of pregnancy (HDP) (21.4%). Conclusion: Most maternal deaths are preventable. Early detection of high-risk pregnancies and early referral of such patients to a well-equipped center is the key to curb the catastrophe of mortality. Adopting methods like qSOFA (quick sequential organ failure assessment) for identifying patients requiring intensive care and miniPIERS (Preeclampsia Integrated Estimate of RiSk) model for predicting adverse outcome in HDP is the need of hour. More efforts should be made to retain the specialists in the islands.

Indexed as

Eclampsiaintensive care unitmaternal mortalityPIERSqSOFA: quick Sequential (Sepsis-related) Organ Failure Assessmentthree delays

Identifiers

PMID35360779
PMCPMC8963640
OpenAlexW4214540118

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.