Evidence map›Paper›PMID 36581421›Full record

Observational studyBMJ open2022

External validation of the Maternal Severity Index for predicting maternal death following potentially life-threatening complications during pregnancy and childbirth: a single-centre, prospective observational study.

Anish Keepanasseril, Divya Mecheril Balachandran, Jyotsna Sharma, Dilip Kumar Maurya, Sitanshu Sekhar Kar

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Anish KeepanasserilObstetrics and Gynecology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, Puducherry, India keepanasseril.a@jipmer.ac.in.ORCID 0000-0002-4881-0382
Divya Mecheril BalachandranObstetrics and Gynecology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, Puducherry, India.
Jyotsna SharmaObstetrics and Gynecology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, Puducherry, India.
Dilip Kumar MauryaObstetrics and Gynecology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, Puducherry, India.
Sitanshu Sekhar KarPreventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, Puducherry, India.
Jawaharlal Institute of Post Graduate Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo perform an external validation to assess the usefulness of the Maternal Severity Index (MSI) in predicting maternal death among women with potentially life-threatening complications during pregnancy or childbirth.

designProspective observational study.

settingA tertiary referral centre in southeastern India.

participants1833 women with potentially life-threatening complications identified using the WHO criteria. PREDICTOR ASSESSED: MSI calculated based on the severity markers of the WHO criteria for maternal near-miss. PRIMARY OUTCOME: Maternal death. STATISTICAL ANALYSIS: Receiver operating characteristics (ROC) curve analysis was performed to assess discriminative performance, and agreement between expected and observed deaths was plotted to determine calibration.

resultsThe incidence of severe maternal outcomes was 10 per 1000 live births. There were 57 (151 per 100 000 live births) maternal deaths during the study period. Maternal Severity Score was significantly higher among those who died (2.8±1.3 vs 2.0±1.2, p<0.001). The mean MSI value was 1.03% (95% CI 0.7% to 1.2%). ROC curve analysis showed good discrimination (AUC(Area Under the Curve): 0.962, 95% CI 0.952 to 0.970); however, overfitting was seen with higher probabilities. The standardised mortality ratio (SMR) was 0.02 (95% CI 0.01 to 0.02), indicating good quality of care.

conclusionsThe MSI has good discriminative performance in distinguishing who succumbs to life-threatening complications, but needs recalibration to avoid overfitting. SMR of less than 0.5 indicates fewer than expected deaths, suggesting good quality of care in reducing maternal mortality in the study population.

Indexed as

Maternal DeathPregnancy ComplicationsFemaleHumansMaternal MortalityParturitionPregnancyProspective StudiesMaternal medicineOBSTETRICSPUBLIC HEALTH

Identifiers

PMID36581421
PMCPMC9806028
OpenAlexW4313332009

What OpenQuestion holds

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Registered trials

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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.