ArticleBMC medicine2019
Distinct mortality patterns at 0-2 days versus the remaining neonatal period: results from population-based assessment in the Indian state of Bihar.
Article in BMC medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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.
Who cites it
15 citing papers in PubMed.
- Randomised controlled trial of fosfomycin in neonatal sepsis: pharmacokinetics and safety in relation to sodium overload.Archives of disease in childhood · 2022Trial
- Neonatal complications and referral practices at birth: insights from a population-based study in the Indian state of Bihar.BMJ open · 2025Article
- Private sector delivery of care for maternal and newborn health: trends over a decade in the Indian state of Bihar.BMC medicine · 2025Article
- Article
- Article
- Poor coverage of quality-adjusted antenatal care services: a population-level assessment by visit and source of antenatal care services in Bihar state of India.The Lancet regional health. Southeast Asia · 2024Article
- Care During Labour, Childbirth, and Immediate Newborn Care in India: A Review.Indian journal of pediatrics · 2023Review
- Substantial increase in stillbirth rate during the COVID-19 pandemic: results from a population-based study in the Indian state of Bihar.BMJ global health · 2023Article
- Assessment of quality of antenatal care services in public sector facilities in India.BMJ open · 2022Article
- Article
- Causes of deaths in neonates and children aged 1-59 months in Nigeria: verbal autopsy findings of 2019 Verbal and Social Autopsy study.BMC public health · 2022Article
- Does higher early neonatal mortality in boys reverse over the neonatal period? A pooled analysis from three trials of Nepal.BMJ open · 2022Article
- Comparison of the Causes of Death Identified Using Automated Verbal Autopsy and Complete Autopsy among Brought-in-Dead Cases at a Tertiary Hospital in Sub-Sahara Africa.Applied clinical informatics · 2022Article
- Effect of preterm birth on early neonatal, late neonatal, and postneonatal mortality in India.PLOS global public health · 2022Article
- Subnational mapping of under-5 and neonatal mortality trends in India: the Global Burden of Disease Study 2000-17.Lancet (London, England) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe objectives of this study were to understand the differences in mortality rate, risk factors for mortality, and cause of death distribution in three neonatal age sub-groups (0-2, 3-7, and 8-27 days) and assess the change in mortality rate with previous assessments to inform programmatic decision-making in the Indian state of Bihar, a large state with a high burden of newborn deaths.
methodsDetailed interviews were conducted in a representative sample of 23,602 live births between January and December 2016 (96.2% participation) in Bihar state. We estimated the neonatal mortality rate (NMR) for the three age sub-groups and explored the association of these deaths with a variety of risk factors using a hierarchical logistic regression model approach. Verbal autopsies were conducted using the PHMRC questionnaire and the cause of death assigned using the SmartVA automated algorithm. Change in NMR from 2011 to 2016 was estimated by comparing it with a previous assessment.
resultsThe NMR 0-2-day, 3-7-day, and 8-27-day mortality estimates in 2016 were 24.7 (95% CI 21.8-28.0), 13.2 (11.1 to 15.7), 5.8 (4.4 to 7.5), and 5.8 (4.5 to 7.5) per 1000 live births, respectively. A statistically significant reduction of 23.3% (95% CI 9.2% to 37.3) was seen in NMR from 2011 to 2016, driven by a reduction of 35.3% (95% CI 18.4% to 52.2) in 0-2-day mortality. In the final regression model, the highest odds for mortality in 0-2 days were related to the gestation period of ≤ 8 months (OR 16.5, 95% CI 11.9-22.9) followed by obstetric complications, no antiseptic cord care, and delivery at a private health facility or home. The 3-7- and 8-27-day mortality was driven by illness in the neonatal period (OR 10.33, 95% CI 6.31-16.90, and OR 4.88, 95% CI 3.13-7.61, respectively) and pregnancy with multiple foetuses (OR 5.15, 95% CI 2.39-11.10, and OR 11.77, 95% CI 6.43-21.53, respectively). Birth asphyxia (61.1%) and preterm delivery (22.1%) accounted for most of 0-2-day deaths; pneumonia (34.5%), preterm delivery (33.7%), and meningitis/sepsis (20.1%) accounted for the majority of 3-7-day deaths; meningitis/sepsis (30.6%), pneumonia (29.1%), and preterm delivery (26.2%) were the leading causes of death at 8-27 days.
conclusionsTo our knowledge, this is the first study to report a detailed neonatal epidemiology by age sub-groups for a major Indian state, which has highlighted the distinctly different mortality rate, risk factors, and causes of death at 0-2 days versus the rest of the neonatal period. Monitoring mortality at 0-2 and 3-7 days separately in the traditional early neonatal period of 0-7 days would enable more effective programming to reduce neonatal mortality.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.