MétaCan
Menu
Back to cohort
Record W3102996923 · doi:10.1101/2020.11.10.20229328

Brain growth and neurodevelopment after surgical treatment of infant post-infectious hydrocephalus in sub-Saharan Africa

2020· preprint· en· W3102996923 on OpenAlexaff
Steven J. Schiff, Abhaya V. Kulkarni, Edith Mbabazi Kabachelor, John Mugamba, Peter Ssenyonga, Ruth Donnelly, Jody Levenbach, Vishal Monga, Mallory Peterson, Venkateswararao Cherukuri, Benjamin C. Warf

Bibliographic record

VenuemedRxiv · 2020
Typepreprint
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersNational Institutes of Health
KeywordsBayley Scales of Infant DevelopmentMedicineHydrocephalusPediatricsCohortProspective cohort studyBrain sizeSurgeryInternal medicineCognitionMagnetic resonance imaging

Abstract

fetched live from OpenAlex

ABSTRACT Importance Post-infectious hydrocephalus in infants is a major public health burden in sub-Saharan Africa. Objective To determine long-term brain growth and cognitive outcome after surgical treatment of infant post-infectious hydrocephalus in Uganda. Design Prospective follow-up of a previously randomized cohort. Setting Single center in Mbale, Uganda. Participants Infants (<180 days old) with post-infectious hydrocephalus. Interventions Endoscopic or shunt surgery. Main outcomes Bayley Scales of Infant Development (BSID-3) and brain volume on computed tomography (raw and normalized for age and sex) at 2 years after treatment. Results Eighty-nine infants were assessed for 2-year outcome. There were no significant differences between the two surgical treatment arms, so they were analyzed together. Raw brain volumes increased between baseline and 24 months (median change=361 cc, IQR=293 to 443, p<0.001), but almost all of this increase was seen in the first year (median change=381 cc, IQR=310 to 442, p<0.001), with very little change between 12 and 24 months (median change=-5 cc, IQR=-52 to 42, p=0.66). The fraction of those with a normal brain volume increased from 15% at baseline to 50% at 1 year, but then declined to 18% at 2 years. Substantial normalized brain volume loss was seen in 21% between baseline and year 2 and in 77% between years 1 and 2. The extent of brain growth in the first year was not associated with extent of brain volume changes in the second year. There were significant positive correlations between 2-year brain volume and all BSID-3 scores and BSID-3 changes from baseline. Conclusions and Relevance In sub-Saharan Africa, even after successful surgical treatment of infant post-infectious hydrocephalus, post-treatment brain growth stagnates in the second year. While the reasons for this are unclear, this emphasizes the importance of primary infection prevention strategies along with optimizing the child’s environment to maximize brain growth potential. Trial Registration ClinicalTrials.gov number, NCT01936272 KEY POINTS Question What is the brain growth and cognitive trajectory of infants treated for post-infectious hydrocephalus in Uganda? Findings In this prospective follow-up of a cohort of 89 infants, early normalization of brain volume after treatment was followed by brain growth stagnation in the second year, with many falling back into the sub-normal range. Poor brain growth was associated with poor cognitive outcome. Meaning Successful surgical treatment of hydrocephalus is not sufficient to allow for adequate brain growth and cognitive development. Interventions aimed at primary infection prevention and reducing comorbidities are needed to improve brain growth potential.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
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)0.0010.000

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 head0.021
GPT teacher head0.250
Teacher spread0.229 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2020
Admission routes1
Has abstractyes

Explore more

Same venuemedRxivSame topicCerebrospinal fluid and hydrocephalusFrench-language works237,207