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Record W2771429221 · doi:10.1542/neo.18-12-e692

Thermoregulation: Advances in Preterm Infants

2017· article· en· W2771429221 on OpenAlex
Smita Roychoudhury, Kamran Yusuf

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNeoReviews · 2017
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineThermoregulationPediatricsInternal medicine

Abstract

fetched live from OpenAlex

* Abbreviations: NTE: : neutral thermal environment T3: : thyroxine T4: : triiodothyronine 1. Thermoregulation of preterm infants is often overlooked, precipitating hypothermia. 2. Clinicians should understand the morbidities and the mortality associated with hypothermia in preterm infants. 3. Clinicians should be able to plan appropriate management to prevent hypothermia after birth and beyond. After completing this article, readers should be able to: 1. Describe the mechanisms of heat production and heat loss in neonates, and why preterm infants are more susceptible. 2. Identify the conditions leading to hypothermia in preterm infants and its consequences. 3. Recognize the different ways of preventing hypothermia in preterm neonates. Newborns must undergo many adaptations after delivery to adjust to extrauterine life. One of the paramount adjustments is the need to rapidly increase body temperature, and strive to accommodate to an environment colder than that of the prenatal milieu. The temperature of a fetus is 0.9°F (0.5°C) above the maternal temperature but within a few minutes after birth, the neonatal core temperature begins to fall. (1) Keeping newborns warm, especially preterm infants, can be challenging. Preterm infants can be characterized as inefficient homeotherms. Although they do have an initial appropriate response to a decrease in environmental temperatures, the effect is limited, placing the preterm infant at high risk for hypothermia with all of its associated complications. Budin (2) and Silverman, pioneers in the field of neonatology, had observed significant mortality among low-birthweight infants who were hypothermic on admission to the nursery and in the first few days after birth. (3) They noted a striking improvement in survival rates if infants were cared for in warm environments, especially in the first 5 days after birth. Budin found a significant difference in mortality based on the temperature of newborns at the time of admission to the NICU. In this study, the mortality rate in neonates weighing less than 2,000 g was as high as 98% …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.964
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.090
GPT teacher head0.464
Teacher spread0.374 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it