Evidence map›Paper›PMID 16911021›Full record

ArticlePaediatric and perinatal epidemiology2006

Collecting population-based perinatal data efficiently: the example of the Lebanese National Perinatal Survey.

Béatrice Blondel, Ali Zein, Nada Ghosn, Christiane du Mazaubrun, Gérard Bréart

Abstract read
In one paragraph

Article in Paediatric and perinatal epidemiology, 2006. 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
–field-weighted citation impact
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.

  1. A framework and standardized methodology for developing minimum clinical datasets.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2011
    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

5 authors.

Béatrice BlondelEpidemiological Research Unit on Perinatal Health and Women's Health, INSERM U149, 16 Avenue Paul Vaillant-Couturier, 94807 Villejuif cedex, France. blondel@vjf.inserm.fr
Ali Zein
Nada Ghosn
Christiane du Mazaubrun
Gérard Bréart

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe the methodology and the main results of the Lebanese perinatal health survey. The survey was carried out during two consecutive weeks in autumn 1999 and spring 2000, with the aim of obtaining a minimum data set on all births occurring during a short period of time. All live births and stillbirths occurring during these periods in medical settings were recorded. The sample included 5231 women and 5333 newborns. Data were obtained from medical records and by interviewing the women in hospital after delivery. All maternity units and birth centres agreed to participate. Maternal characteristics, medical care during pregnancy and delivery, and pregnancy outcome were similar for the two study periods. However, gestational age distribution differed between the two periods. In total, 9.0% of infants were born < 37 weeks of gestation and 7.0% weighed < 2500 g at birth. Wide regional variations were observed for many indicators of health, care and risk factors. For instance, the caesarean section rate varied from 16.2% in the North Region to 28.0% in Beirut. The survey protocol was successfully applied in Lebanon and may be useful in other countries that have a relatively well-developed healthcare system, but few sources of reliable population-based statistics on health and medical care. This type of survey may also be an appropriate instrument for collecting additional data for health policy evaluations.

Indexed as

AdultBirth WeightCesarean SectionDelivery, ObstetricDeveloping CountriesEducational StatusFemaleGestational AgeHealth Care SurveysHome ChildbirthHumansInfant, NewbornInfant, PrematureLebanonMothersParity

Identifiers

PMID16911021
PMCPMC2855854

What OpenQuestion holds

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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.