↓ Skip to main content

An explanatory randomised placebo controlled trial of levothyroxine supplementation for babies born <28 weeks’ gestation: results of the TIPIT trial

Overview of attention for article published in Trials, July 2013
Altmetric Badge

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
61 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
An explanatory randomised placebo controlled trial of levothyroxine supplementation for babies born <28 weeks’ gestation: results of the TIPIT trial
Published in
Trials, July 2013
DOI 10.1186/1745-6215-14-211
Pubmed ID
Authors

Sze M Ng, Mark A Turner, Carrol Gamble, Mohammed Didi, Suresh Victor, Donal Manning, Paul Settle, Richa Gupta, Paul Newland, Alan Michael Weindling

Abstract

Babies born before 28 weeks' gestation have lower plasma thyroid hormone concentrations than more mature infants. This may contribute to their risk of poor developmental outcome. Previous studies have suggested that thyroxine supplementation for extremely preterm neonates may be beneficial. The aim of this study was to investigate the effect of administration of supplemental thyroxine to very premature babies on brain size and somatic growth at 36 weeks' corrected gestational age (CGA).

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 15%
Researcher 8 13%
Other 6 10%
Professor > Associate Professor 5 8%
Student > Ph. D. Student 5 8%
Other 17 28%
Unknown 11 18%
Readers by discipline Count As %
Medicine and Dentistry 37 61%
Agricultural and Biological Sciences 2 3%
Nursing and Health Professions 2 3%
Sports and Recreations 2 3%
Economics, Econometrics and Finance 1 2%
Other 4 7%
Unknown 13 21%