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A ’global’ approach to global developmental delay and intellectual disability?

2010· letter· en· W1986423184 on OpenAlexaff
Michael Shevell

Bibliographic record

VenueDevelopmental Medicine & Child Neurology · 2010
Typeletter
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsMcGill UniversityMontreal Children's Hospital
Fundersnot available
KeywordsGlobal developmental delayEtiologyContext (archaeology)Intellectual disabilityMedicinePediatricsFamily medicinePsychologyPsychiatryGeography

Abstract

fetched live from OpenAlex

Burgeoning international trade, modern telecommunications, media saturation, ubiquitous information technology, and facilitated international travel have all contributed to creating a ‘global village’. However, local particularities of history, culture, and economics ensures that we do not all inhabit the same metaphorical neighbourhood in this village. The spheres of health, medical knowledge, and service delivery are not exempt from these general observations. These points are illustrated pragmatically in the paper by Jauhari et al.1 From the context of ambulatory pediatric clinics in Luknow, Uttar Pradesh, situated on the vast and densely populated Ganges plain of Northern India, the etiological yield and profile of a consecutive series of children with intellectual disability or global developmental delay is described. Despite a relative lack of available diagnostic resources, especially pertaining to genetic technologies (and not as readily evident with respect to imaging modalities), a percentage etiological yield corresponding to roughly half was obtained by the investigators, which is not dissimilar to that reported in European and North American populations.2, 3 Similarly to these Western studies, clinical features (e.g. microcephaly, coexisting epilepsy, abnormal motor signs, adverse neonatal events) evident on history and physical examination and suggestive of an underlying etiology were found. Furthermore, etiological yield was noted to be independent of the documented severity of developmental delay or intellectual disability, thus reinforcing the point that all children with an intellectual disability or global developmental delay merit a stringent diagnostic evaluation that asks the important question: Why this child? Not surprisingly, what is situationally specific are both the profile of children evaluated with intellectual disability or global developmental delay and the profile of etiologies documented. A striking 70% of the children in this series are male. This observation is attributed by the authors to a social-cultural bias amongst the local population towards seeking health services for their male offspring in preference to females. Rather than a proponderance of prenatal (presumably genetic in origin) etiologies as documented in contemporary western series, roughly 85% of the etiologies identified were perinatal (exclusively asphyxia or infection) or postnatal (exclusively infection) in origin. Indeed, perinatal and post-natal causes account for roughly 40% of all cases of intellectual disability or global developmental delay evaluated in this series. These local particularities have significant implications. Male preponderance suggests that despite organizational, constitutional, and legal commitments to sex equality, this remains unrealized. Addressing such an intrinsic social-cultural bias will be difficult and will likely be ultimately dependant on first enhancing and realizing local economic opportunities for females. The precise etiological spectrum documented offers considerable opportunities for prevention. While in all societies ‘an ounce of prevention is worth a pound of cure’, this is particularly true and relevant in resource-poor settings with relatively limited available funds that can be directed to medical, rehabilitation, educational, and societal supports across the lifespan. Improved access to obstetric and neonatal care, together with routine pediatric immunizations against bacterial pathogens (i.e. pneumococcus, meningococcus, hemophilus influenza) on a population-wide basis presents clear points for prevention in resource-poor populations. Another strategy for prevention is offered by implementation of newborn screening protocols for congenital hypothyroidism and metabolic disorders. Indeed, two children in the Jauhari et al. series had congenital hypothyroidism, a diagnosis now absent from contemporary Western series of intellectual disability and global developmental delay. In a setting of 16% parental consanguinity, neonatal metabolic screening offers obvious early diagnostic and outcome advantages. Thus, the paper by Jauhari et al. reminds us how similar and dissimilar the human experience can be concurrently. While a general diagnostic approach can be formulated, algorithms and guidelines must be locally adaptable to face particular local issues and challenges.4, 5 It also provides us with the objective evidence necessary to continue to address inequities in health service provision that directly impact on individual and community health and well-being around the world.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.005
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0010.014
Scholarly communication0.0040.009
Open science0.0020.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.022
GPT teacher head0.274
Teacher spread0.252 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations8
Published2010
Admission routes1
Has abstractyes

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