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Record W4398551467 · doi:10.7910/dvn/5dklvi

Replication Data for: Systemic Inflammation is Negatively Associated with Early Post Discharge Growth following Acute Illness among Severely Malnourished Children- a Pilot Study

2020· dataset· en· W4398551467 on OpenAlex

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

VenueHarvard Dataverse · 2020
Typedataset
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsReplication (statistics)Systemic inflammationInflammationMedicineInternal medicineVirology

Abstract

fetched live from OpenAlex

<p>This is a replication dataset for the published paper "<a href="https://doi.org/10.12688/wellcomeopenres.16330.1">Systemic Inflammation is Negatively Associated with Early Post Discharge Growth following Acute Illness among Severely Malnourished Children- a Pilot Study</a>" published in the Wellcome Open Research journal.</p> <p>This was a secondary analysis of data from a nested case control study within a clinical trial (<a href="https://clinicaltrials.gov/ct2/show/NCT00934492">NCT00934492</a>) that tested the efficacy of daily co‐trimoxazole prophylaxis in reducing post‐discharge mortality among HIV‐uninfected children aged 2-59 months hospitalised with Complicated Severe Malnutrition (CSM) in two urban (Mombasa and Nairobi) and two rural (Kilifi and Malindi) hospitals in Kenya. We examined the relationship between changes in absolute deficits in weight and mid-upper-arm circumference (MUAC) from enrolment at stabilisation to 60 days later and untargeted plasma proteome, targeted cytokines/chemokines, leptin, and soluble CD14 (sCD14) using multivariate regularized linear regression. </p> <p>Dataset files included : (i) Njunge_CTX_15092020.dta and (ii) Njunge_CTX_15092020.csv <br> Both files contain similar infomation. The files contains athropometric at the time of hospital discharge and during follow up months 1, 2, 3, 4, 5, 6, 8, 10, and 12. A full blood count at enrolment, 2, 6, and 12 months. Anthropometric z scores calculated using 2006 WHO growth references. Study data were entered into OpenClinical trial database. After locking the trial database, the data were extrcated and exported to STATA Version 13.1 for statistical analysis. Participants included in this study were non-oedematous children with Severe Malnutrition randomly selected from those who survived and were not readmitted to hospital during 12 months of follow up and had completed follow-up data at month 12. They had served as controls in a previous case control study (Njunge, J.M., et al., 2019. Biomarkers of post-discharge mortality among children with complicated severe acute malnutrition. Scientific reports, 9(1):5981. https://doi.org/1038/s41598-019-42436-y.) in which plasma proteomic and cytokine measurements had been done on enrolment samples. Absolute deficit in anthropometric variables were defined as the median value for age according to WHO growth charts minus the child’s measured value. The files also contain plasma proteome, leptin, sCD14 and a panel of targeted cytokines. <br> <br> The two files were generated using STATA/IC (version 15.1; StataCorp, College Station, TX, USA). </p>

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.685
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.029
GPT teacher head0.280
Teacher spread0.251 · 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