Evidence map›Paper›PMID 35928059›Full record

ArticleJournal of obstetrics and gynaecology of India2022

Analysis of Maternal Factors Impacting Neonatal Near Miss (NNM) Events: A Tertiary Centre Experience.

Maitreyee Parulekar, Harshada Thakur, Padmaja Samant

Open access · greenAbstract read
In one paragraph

Article in Journal of obstetrics and gynaecology of India, 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
0.3field-weighted citation impact, top 32% 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, 2 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

3 authors at 1 institution in 1 country.

Maitreyee ParulekarMinimally Invasive Gynecologic Surgery, Oyster Hospital, Goregaon, Mumbai India.
Harshada ThakurDepartment of Obstetrics and Gynaecology, Seth G.S Medical College and K.E.M Hospital, Parel, Mumbai India.
Padmaja SamantDepartment of Obstetrics and Gynaecology, Seth G.S Medical College and K.E.M Hospital, Parel, Mumbai India.
Oyster Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To find out the incidence of neonatal near miss (NNM) cases in comparison with the neonatal deaths and to study the different antenatal and intrapartum maternal variables and system-related delays influencing these events. Methodology: This is a descriptive retrospective study conducted over a year (2018-2019) at a tertiary referral hospital in India, where NNM cases were selected as per 'pragmatic criteria', and detailed maternal and neonatal biological variables and near miss indicators were procured from the medical record books and analysed. Results: Out of 6383 live births and 231 neonatal deaths in the hospital during the study period, 810 NNM cases were identified born to 710 mothers, i.e. 3.5 cases for each neonatal death. Birth weight and gestational age in combination contributed to the maximum number of cases-383 (47.28%). The most common reason for referral was threatened pre-term/PPROM with non-availability of NICU-197 cases (38.3%) out of 514 referrals. Out of 710 mothers, 529 (74.5%) had at least one comorbidity at the time of presentation. The most common comorbidity was anaemia in 267 women followed by hypertensive disorder of pregnancy-in 251 cases. Primary delay contributed to 54% of all delays in the study. Conclusion: NNM can be used as an effective tool for quality control and audits to effectively reduce maternal and neonatal morbidity and mortality but needs more research to establish a standardized definition and criteria for selection of cases.

Indexed as

Maternal comorbidityNeonatal mortalityNeonatal near miss events

Identifiers

PMID35928059
PMCPMC9343503
OpenAlexW3198791928

What OpenQuestion holds

Textmetadata
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.