Replication Data for: Systemic Inflammation is Negatively Associated with Early Post Discharge Growth following Acute Illness among Severely Malnourished Children- a Pilot Study
Bibliographic record
Abstract
This is a replication dataset for the published paper "Systemic Inflammation is Negatively Associated with Early Post Discharge Growth following Acute Illness among Severely Malnourished Children- a Pilot Study" published in the Wellcome Open Research journal. This was a secondary analysis of data from a nested case control study within a clinical trial (NCT00934492) 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. Dataset files included : (i) Njunge_CTX_15092020.dta and (ii) Njunge_CTX_15092020.csv 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. The two files were generated using STATA/IC (version 15.1; StataCorp, College Station, TX, USA).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.055 | 0.014 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".