Evidence map›Paper›PMID 30430413›Full record

ReviewJournal of nephrology2019

Pregnancy in women with diabetic nephropathy.

Donatella Spotti

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Gestational and pregestational diabetes in pregnant women with cystic fibrosis.Journal of clinical & translational endocrinology · 2022
    Article
  11. Dysglycemia in Pregnancy and Maternal/Fetal Outcomes.Journal of women's health (2002) · 2021
    Article
  12. Article
  13. Review
  14. Observational
  15. Article
  16. 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

1 author at 1 institution in 1 country.

Donatella SpottiOU Nephrology and Dialysis, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy. spotti.donatella@hsr.it.
Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of pregnancies in women with pregestational diabetes has been steadily increasing worldwide. These pregnancies are associated with an increased risk of a variety of complications, including miscarriages, congenital malformations, macrosomia, fetal growth restriction, preeclampsia, preterm delivery and stillbirth. In pregnant women with diabetic nephropathy it is important to evaluate both the effect of pregnancy on kidney function and the effect of kidney disease on pregnancy outcomes. Pregnant women with normal renal function and microalbuminuria have a low risk of loss of kidney function during pregnancy, while women with GFR < 60 ml/min and/or proteinuria ≥ 3 g/24 h at the beginning of pregnancy are at risk of permanent kidney damage. The risk of fetal and maternal complications is associated with the severity of chronic kidney disease and glycemic control. Advances in prenatal care have improved fetal and maternal outcomes and preconception counseling has become key for a successful pregnancy in all women with diabetes and especially in those with diabetes and chronic kidney disease.

Indexed as

Pregnancy ComplicationsBlood GlucoseDiabetic NephropathiesFemaleHumansPregnancyPregnancy OutcomeBlood GlucoseDiabetic nephropathyPregestational diabetesPregnancy

Identifiers

PMID30430413
OpenAlexW2900958673

What OpenQuestion holds

Textmetadata
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.