Evidence map›Paper›PMID 28245262›Full record

ArticlePloS one2017

High birth weight and perinatal mortality among siblings: A register based study in Norway, 1967-2011.

Petter Kristensen, Katherine M Keyes, Ezra Susser, Karina Corbett, Ingrid Sivesind Mehlum, Lorentz M Irgens

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Epidemiology of Macrosomia in Korea: Growth and Development.Journal of Korean medical science · 2021
    Article
  5. 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

6 authors at 4 institutions in 2 countries.

Petter KristensenDepartment of Occupational Medicine and Epidemiology, National Institute of Occupational Health, Oslo, Norway.ORCID http://orcid.org/0000-0003-0469-5033
Katherine M KeyesDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States of America.
Ezra SusserDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States of America.
Karina CorbettDepartment of Occupational Medicine and Epidemiology, National Institute of Occupational Health, Oslo, Norway.
Ingrid Sivesind MehlumDepartment of Occupational Medicine and Epidemiology, National Institute of Occupational Health, Oslo, Norway.ORCID http://orcid.org/0000-0003-0830-284X
Lorentz M IrgensDepartment of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
National Institute of Occupational Health · NOColumbia University · USNew York Psychoanalytic Society and Institute · USNorwegian Institute of Public Health · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerinatal mortality according to birth weight has an inverse J-pattern. Our aim was to estimate the influence of familial factors on this pattern, applying a cohort sibling design. We focused on excess mortality among macrosomic infants (>2 SD above the mean) and hypothesized that the birth weight-mortality association could be explained by confounding shared family factors. We also estimated how the participant's deviation from mean sibling birth weight influenced the association. METHODS AND

findingsWe included 1 925 929 singletons, born term or post-term to mothers with more than one delivery 1967-2011 registered in the Medical Birth Registry of Norway. We examined z-score birth weight and perinatal mortality in random-effects and sibling fixed-effects logistic regression models including measured confounders (e.g. maternal diabetes) as well as unmeasured shared family confounders (through fixed effects models). Birth weight-specific mortality showed an inverse J-pattern, being lowest (2.0 per 1000) at reference weight (z-score +1 to +2) and increasing for higher weights. Mortality in the highest weight category was 15-fold higher than reference. This pattern changed little in multivariable models. Deviance from mean sibling birth weight modified the mortality pattern across the birth weight spectrum: small and medium-sized infants had increased mortality when being smaller than their siblings, and large-sized infants had an increased risk when outweighing their siblings. Maternal diabetes and birth weight acted in a synergistic fashion with mortality among macrosomic infants in diabetic pregnancies in excess of what would be expected for additive effects.

conclusionsThe inverse J-pattern between birth weight and mortality is not explained by measured confounders or unmeasured shared family factors. Infants are at particularly high mortality risk when their birth weight deviates substantially from their siblings. Sensitivity analysis suggests that characteristics related to maternal diabetes could be important in explaining the increased mortality among macrosomic infants.

Indexed as

Perinatal DeathSiblingsBirth WeightFemaleHumansInfantInfant, NewbornInfant, Newborn, DiseasesMaleMothersNorwayPerinatal MortalityPregnancy

Identifiers

PMID28245262
PMCPMC5330506
OpenAlexW2593278231

What OpenQuestion 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 OpenQuestion graph.