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Record W4322389084 · doi:10.1055/s-0043-1761631

Samrakshan Program—An Indian Radiological and Imaging Association Initiative to Reduce Perinatal Mortality in India

2023· editorial· en· W4322389084 on OpenAlexaboutno aff
Sunitha Vellathussery Chakkalakkoombil

Bibliographic record

VenueIndian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging · 2023
Typeeditorial
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePerinatal mortalityRadiological weaponPregnancyEclampsiaObstetricsQuarter (Canadian coin)Low birth weightInfant mortalityPediatricsMaternal healthDemographyEnvironmental healthFetusPopulationHealth servicesSurgeryGeography

Abstract

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India has a high perinatal mortality rate of 36 per 1,000 pregnancies as per the National Family Health Survey-4 (2015–16) and contributes to more than a quarter of global neonatal deaths.[ 1 ] [ 2 ] The perinatal mortality rate is considered one of the key indicators of the healthcare system of a society. A major determinant of poor perinatal health in India is a high prevalence of preterm births (PB) and this in turn is attributable to high rates of pregnancy-induced hypertension, pre-eclampsia (PE), and fetal growth restriction (FGR). An estimated 8 to 10% of pregnant women in India develop PE during pregnancy and an estimated 3.5 million children are born preterm every year. Indian Radiological & Imaging Association (IRIA) has taken a major step toward addressing the high rates of perinatal mortality, low birth weight, and preterm babies in India in the form of a national program called Samrakshan, initiated in June 2019. Samrakshan program aims to reduce perinatal mortality in India through an approach that focuses on the integration of trimester-specific fetal Doppler studies with routine antenatal ultrasound examinations to estimate a customized risk status for preterm PE and FGR for each pregnant woman based on globally accepted risk estimators.[ 3 ] Screening for PE will start in the first trimester and women identified in the first trimester as high risk for preterm PE are recommended a daily low-dose aspirin regime (150 mg daily) to be initiated before 16 weeks of pregnancy.[ 4 ] A stage-based protocol will be used to manage fetuses identified in the third trimester of pregnancy with growth restriction.[ 5 ] Dedicated trimester-specific forms, based on the variables of interest, have been developed and are available online to download on the dedicated Samrakshan page of the IRIA Web site or through the Samrakshan app. Radiologists with user credentials can fill up and submit these forms online to a centralized database that will be updated in real-time, thus contributing to the development of India-specific data and protocols at the national, regional, and state levels. The data collated from the initial 2 years of Samrakshan in India are analyzed on a regular basis by the Samrakshan team. In this edition of the Indian Journal of Radiology and Imaging , Choorakuttil et al present the results of some of the studies conducted under the Samrakshan program of IRIA. The first one was conducted to assess the diagnostic effectiveness of third-trimester fetal Doppler studies in pregnancy to predict late and term stillbirth (SB) and neonatal mortality.[ 6 ] The Doppler parameters studied were mean uterine artery pulsatility index (PI), umbilical artery PI, middle cerebral artery PI, and cerebroplacental ratio in the third trimester. The authors found that an abnormal Doppler study was significantly associated with and had an excellent discriminatory ability for late SBs but not for term SB or neonatal deaths. In the next study, the authors describe the role of color Doppler ultrasonography in the third trimester of pregnancy to reclassify FGR.[ 7 ] A fetus with FGR shows Doppler signs of hemodynamic redistribution as a fetal adaptation response to undernutrition or hypoxia in addition to an estimated fetal weight less than 10th percentile, whereas a small for gestational age (SGA) fetus is defined as a constitutionally small fetus without Doppler changes. The fetal Doppler parameters studied are the same as in the previous study. The integration of Doppler assessments to the biometry resulted in a significant reclassification of FGR from 20.22 to 11.39%, the remaining 8.83% being reclassified as SGA and these SGA fetuses can be carried to term similar to normal growth fetuses. This reduction will have significant implications on the healthcare system of India by reducing the cesarean section rates, PB rates, and perinatal mortality rates. The trends in various aspects of perinatal health after 2 years of the Samrakshan program were presented by the authors and they found a significant reduction in perinatal mortality, neonatal mortality, PB rates, and rates of PE and FGR compared with national rates as well as compared with the first-year data of Samrakshan taken as baseline.[ 8 ] [ 9 ] Based on these encouraging results after 2 years of Samrakshan, the Samrakshan 757 project was proposed that aims to have at least one Samrakshan fetal radiologist (Samrakshan Yodhas) in every district of India, who will lead the integration of fetal Dopplers and ultrasound assessment with antenatal care in each district in collaboration with other stakeholders in perinatal healthcare, ultimately aiming to reduce PE to less than 3% and FGR to less than 10% in India over an 8-year period. Through a multipronged approach including nationwide data collection, research collaborations, skill development, training, and awareness programs, Samrakshan under the auspices of IRIA is slowly moving toward achieving the proposed long-term targets. As responsible radiologists, I urge you all to join hands with IRIA in this national mission to help India achieve a low perinatal mortality rate as visioned. Publication History Article published online: 26 February 2023 © 2023. Indian Radiological Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/) Thieme Medical and Scientific Publishers Pvt. Ltd. A-12, 2nd Floor, Sector 2, Noida-201301 UP, India

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.001
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.0080.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.307
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractyes

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