Evidence map›Paper›PMID 18385681›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2008

Ethnic differences in infant mortality by cause of death.

P Kitsantas

Abstract read
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In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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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

1 author at 1 institution in 1 country.

P KitsantasDepartment of Health Administration and Policy, The College of Health and Human Services, George Mason University, Fairfax, VA 22030, USA. pkitsant@gmu.edu
George Mason University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study was to examine ethnic differences among non-Hispanic black and white births in the distribution of maternal risk factors of infant mortality across specific causes of death. STUDY

designThe data were obtained from the North Carolina linked birth/infant death files (1989 to 1997). Logistic regression models were built to assess the risk distribution of demographic, behavioral and health related variables in relation to causes of infant death, which included congenital anomalies, short gestation/low birth weight (LBW), sudden infant death syndrome, infections and obstetric conditions.

resultInfants born to black women had the highest rates for all causes of mortality compared to those born to white women. Having at least one prior live birth now dead was associated with congenital anomalies, obstetric conditions and short gestation/LBW related deaths in both ethnic groups. Deaths caused by infections were more likely to occur among white young (<20) women. White women enrolled in Medicaid had an increased risk of infant deaths due to short gestation/LBW when compared to those with no Medicaid, while young black mothers (<20 years old) were less likely to experience an infant death due to short gestation/LBW and obstetric conditions.

conclusionThis study provides evidence that maternal sociodemographic risk factors somewhat vary by infant cause of death and ethnicity. This suggests that race-specific approaches may be necessary to reduce infant mortality rates. The differences, however, in the risk distribution of factors across the two ethnic groups were limited indicating that the heterogeneity in the mortality rates may be due to unmeasured factors.

Indexed as

Health Status DisparitiesAdolescentAdultBlack or African AmericanCause of DeathFemaleHumansInfant MortalityInfant, NewbornNorth CarolinaRetrospective StudiesRisk FactorsWhite People

Identifiers

PMID18385681
OpenAlexW2064731337

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.