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Record W4317903192 · doi:10.1136/bmj-2022-072313

Cerebral regional tissue Oxygen Saturation to Guide Oxygen Delivery in preterm neonates during immediate transition after birth (COSGOD III): multicentre randomised phase 3 clinical trial

2023· article· en· W4317903192 on OpenAlexafffundabout
Gerhard Pichler, Katharina Goeral, Marlene Hammerl, Tina Perme, Eugene Dempsey, Laila Springer, Gianluca Lista, Tomasz Szczapa, Hans Fuchs, Łukasz Karpiński, Jenny Bua, Alexander Avian, Brenda Hiu Yan Law, Berndt Urlesberger, Julia Buchmayer, Ursula Kiechl‐Kohlendorfer, Lilijana Kornhauser-Cerar, Christoph E. Schwarz, Kerstin Gründler, Ilaria Stucchi, Bernhard Schwaberger, Katrin Klebermaß-Schrehof, Georg M. Schmölzer

Bibliographic record

VenueBMJ · 2023
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsRoyal Alexandra HospitalUniversity of Alberta
FundersUniversität InnsbruckMedizinische Universität GrazMedizinische Universität InnsbruckUniversity of AlbertaMedizinische Universität WienUniversität WienChildren's Hospital FoundationKarl-Franzens-Universität GrazStollery Children’s Hospital FoundationMedizinische Fakultät der Albert-Ludwigs-Universität FreiburgAustrian Science FundWomen and Children's Health Research InstituteUniversity College CorkChildren's Health Research InstituteAlbert-Ludwigs-Universität FreiburgHeart and Stroke Foundation of Canada
KeywordsMedicineInterquartile rangeGestational ageConfidence intervalRandomized controlled trialGestationAnesthesiaIntensive careNeonatal resuscitationPediatricsResuscitationPregnancySurgeryInternal medicineIntensive care medicine

Abstract

fetched live from OpenAlex

Abstract Objective To investigate whether monitoring of cerebral tissue oxygen saturation using near infrared spectroscopy in addition to routine monitoring combined with defined treatment guidelines during immediate transition and resuscitation increases survival without cerebral injury of premature infants compared with standard care alone. Design Multicentre, multinational, randomised controlled phase 3 trial. Setting 11 tertiary neonatal intensive care units in six countries in Europe and in Canada. Participants 1121 pregnant women (<32 weeks’ gestation) were screened prenatally. The primary outcome was analysed in 607 of 655 randomised preterm neonates: 304 neonates in the near infrared spectroscopy group and 303 in the control group. Intervention Preterm neonates were randomly assigned to either standard care (control group) or standard care plus monitoring of cerebral oxygen saturation with a dedicated treatment guideline (near infrared spectroscopy group) during immediate transition (first 15 minutes after birth) and resuscitation. Main outcome measure The primary outcome, assessed using all cause mortality and serial cerebral ultrasonography, was a composite of survival without cerebral injury. Cerebral injury was defined as any intraventricular haemorrhage or cystic periventricular leukomalacia, or both, at term equivalent age or before discharge. Results Cerebral tissue oxygen saturation was similar in both groups. 252 (82.9%) out of 304 neonates (median gestational age 28.9 (interquartile range 26.9-30.6) weeks) in the near infrared spectroscopy group survived without cerebral injury compared with 238 (78.5%) out of 303 neonates (28.6 (26.6-30.6) weeks) in the control group (relative risk 1.06, 95% confidence interval 0.98 to 1.14). 28 neonates died (near infrared spectroscopy group 12 (4.0%) v control group 16 (5.3%): relative risk 0.75 (0.33 to 1.70). Conclusion Monitoring of cerebral tissue oxygen saturation in combination with dedicated interventions in preterm neonates (<32 weeks’ gestation) during immediate transition and resuscitation after birth did not result in substantially higher survival without cerebral injury compared with standard care alone. Survival without cerebral injury increased by 4.3% but was not statistically significant. Trial registration ClinicalTrials.gov NCT03166722 .

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.

How this classification was reachedexpand

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)0.002
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.929

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.075
GPT teacher head0.436
Teacher spread0.361 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations53
Published2023
Admission routes3
Has abstractyes

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