Evidence map›Paper›PMID 31467554›Full record

ArticleObstetrics and gynecology international2019

Neonatal Near Miss among Newborns of Women with Type 1 Diabetes Mellitus.

Luiza R Morais, Beatriz C Patz, Felipe F Campanharo, Patricia M Dualib, Sue Y Sun, Rosiane Mattar

Open access · goldAbstract read
In one paragraph

Article in Obstetrics and gynecology international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Luiza R MoraisObstetrics Department, Universidade Federal de São Paulo (UNIFESP) Escola Paulista de Medicina, São Paulo 04021-001, Brazil.
Beatriz C PatzObstetrics Department, Universidade Federal de São Paulo (UNIFESP) Escola Paulista de Medicina, São Paulo 04021-001, Brazil.
Felipe F CampanharoObstetrics Department, Universidade Federal de São Paulo (UNIFESP) Escola Paulista de Medicina, São Paulo 04021-001, Brazil.
Patricia M DualibEndocrinology Department, Universidade Federal de São Paulo (UNIFESP) Escola Paulista de Medicina, São Paulo 04021-001, Brazil.
Sue Y SunObstetrics Department, Universidade Federal de São Paulo (UNIFESP) Escola Paulista de Medicina, São Paulo 04021-001, Brazil.ORCID https://orcid.org/0000-0001-6573-7386
Rosiane MattarObstetrics Department, Universidade Federal de São Paulo (UNIFESP) Escola Paulista de Medicina, São Paulo 04021-001, Brazil.
Universidade Federal de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the frequency of neonatal near miss (NNM) and associate it with maternal morbidity in newborns of women with type 1 diabetes mellitus (T1DM).

methodsThis was a cross-sectional retrospective study from a secondary analysis of data retrieved from medical records of pregnant women with T1DM cared at a Brazilian university hospital between 2005 and 2015. Maternal near miss (MNM) and potentially life-threatening conditions (PTLC) were classified according to the World Health Organization criteria. NNM was classified according to the Pan American Health Organization Neonatal Near Miss Working Group criteria. Association of maternal morbidity with NNM was assessed using chi-square test.

resultsThere were 122 newborns (NB) among 137 T1DM pregnancies. Thirty-seven NB presented NNM-incidence of 303 NNM per 1000 live births (37/122). NNM was associated with MNM (

conclusionMNM was associated with NNM among women with T1DM, and PLTC, paradoxically, did not increase NNM.

Identifiers

PMID31467554
PMCPMC6701311
OpenAlexW2965465217

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.