Heme iron polypeptide for the treatment of iron deficiency anemia in non-dialysis chronic kidney disease patients: a randomized controlled trial
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.
Bibliographic record
Abstract
BACKGROUND: Anemia secondary to iron deficiency is common in patients with non-dialysis dependent chronic kidney disease (ND-CKD) but it is unclear if oral supplementation is as effective as intravenous (IV) supplementation in re-establishing iron stores. The purpose of this study was to determine if oral Heme Iron Polypeptide (HIP) is as effective as IV iron sucrose in the treatment of iron-deficiency anemia for patients with ND-CKD. METHODS: Forty ND-CKD patients were randomized; 18 to HIP 11 mg orally 3 times per day and 22 to IV iron sucrose 200 mg monthly for 6 months. Baseline clinical and laboratory data were collected for all patients. The primary and secondary outcomes for the study were hemoglobin (Hgb) concentration and iron indices [ferritin and percentage transferrin saturation (TSAT)] at the end of 6 months respectively. Adverse events were also compared. RESULTS: The baseline demographic characteristics and laboratory values were similar for the two groups. After 6 months of treatment, Hb in the HIP group was 117 g/L and 113 g/L in the IV sucrose group (p = 0.37). The TSAT at 6 months was not different between the two groups {p = 0.82}but the serum ferritin was significantly higher in the IV iron sucrose group {85.5 ug/L in HIP and 244 ug/L; p = 0.004}. Overall adverse events were not different between the groups. CONCLUSION: HIP is similar in efficacy to IV iron sucrose in maintaining hemoglobin in ND-CKD patients with no differences in adverse events over 6 months. It is unclear if the greater ferritin values in the IV iron sucrose group are clinically significant. TRIAL REGISTRATION: ClinicalTrials.gov: NCT00318812.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 it