Evidence map›Paper›PMID 22754875›Full record

ArticleNorth American journal of medical sciences2012

Pregnancy in Type 1 Diabetes Mellitus: How Special are Special Issues?

Navneet Magon, Monica Chauhan

Abstract read
In one paragraph

Article in North American journal of medical sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Gestational diabetes mellitus: insulinic management.Journal of obstetrics and gynaecology of India · 2014
    Review
  9. Review
  10. Diabetes weds oral infection: An unhappy marriage.North American journal of medical sciences · 2013
    Article
  11. Article
  12. 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

2 authors at 2 institutions in 1 country.

Navneet MagonDepartment of Obstetrics and Gynaecology, Air Force Hospital, Nathu Singh Road, Kanpur Cantt, Uttar Pradesh, India.
Monica Chauhan
Command Hospital Air Force · INGovernment Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

India leads the world with largest number of diabetics earning the dubious distinction of "the diabetes capital of the world." Diabetes is associated with maternal and perinatal morbidity and mortality. The number of pregnant women with pre-existing diabetes is increasing, mainly from an increase in type 2 diabetes, but also an increase in type 1 diabetes. Overall, type 1 diabetes accounts for approximately 5% to 10% of all diabetes outside of pregnancy, and in pregnancy put together with type 2 account for 10% of diabetic pregnancies. Management of the pregnant diabetic woman is a complex task that ideally begins before conception. Specific attention is required for diabetic pregnancies in different trimesters of pregnancy. Diabetes, especially type 1 diabetes, can be a challenge in pregnancy, but with education, close monitoring, and latest therapeutic modalities, these women can have healthy newborns. Close attention to diet, glycemic control, metabolic stresses, and early diagnosis and monitoring of complications can make pregnancy a successful experience for women with diabetes. A MedLine search was done to review relevant articles in English literature on diabetes and pregnancy, and specific issues related to pregnancy in type 1 diabetes were reviewed.

Indexed as

Gestational diabetes mellitusInsulinPregnancyType 1 diabetes mellitus

Identifiers

PMID22754875
PMCPMC3385360
OpenAlexW2062754010

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.