Associative Patterns Between Iron Deficiency Anemia and Febrile Seizures in the Five to 60 Months Age Group: A Comprehensive Systematic Review
Bibliographic record
Abstract
Febrile seizures (FS) are commonly seen in younger age groups. The cause of seizures is multifactorial, including viral illnesses, certain vaccines such as MMR (measles, mumps, rubella), family history of FS, and certain mineral deficiencies like zinc. Iron deficiency anemia (IDA) is the most common cause of anemia in children of the same age group. The systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. This review aimed to investigate the correlation between IDA and fever convulsions. A systematic literature search was conducted using PubMed and Google Scholar databases for studies published between January 2013 and September 2023. The following keywords were used to search the articles: "children", "febrile seizures", and "iron deficiency anemia", using all possible combinations and using the word "and" between them. Following the inclusion and exclusion criteria application, we included 23 case-control studies written in the English language in this study. Quality assessment of studies was done using the Newcastle Ottawa Scale.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".