Oral Ferrous Sulfate Does Not Increase Preoperative Hemoglobin in Patients Scheduled for Hip or Knee Arthroplasty
Bibliographic record
Abstract
BACKGROUND: Low hemoglobin (Hb) concentrations before lower limb joint replacement are associated with the need for blood transfusions and increased mortality. To optimize preoperative Hb, blood conservation protocols often recommend oral iron supplements, even in nonanemic patients. OBJECTIVE: To investigate the impact of ferrous sulfate on the change in Hb prior to hip or knee arthroplasty and evaluate the effect of oral iron on hematocrit, mean corpuscular volume (MCV), ferritin, and transferrin saturation, as well as its tolerability and treatment adherence. METHODS: We conducted a prospective, observational cohort study of adults with Hb concentrations between 10 and 15 g/dL who received iron supplementation prior to hip or knee arthroplasty. Systemic inflammatory diseases, vitamin B(12) or folate deficiency, and current use of iron supplements, intravenous iron, or erythropoietin were exclusion criteria. All participants were prescribed ferrous sulfate 300 mg 3 times daily for a minimum of 3 weeks. Complete blood cell counts and iron studies were performed before therapy and surgery. RESULTS: Eighty-seven patients with a mean (SD) Hb of 13.47 (0.84) g/dL were included in the study. Preoperative Hb decreased after treatment with iron (-0.14 [0.53] g/dL, p = 0.015). Hematocrit also declined (-0.6% [1.8%], p = 0.002), whereas ferritin increased (25.8 [38.6] ng/mL, p < 0.001). No significant change was seen in MCV and transferrin saturation. The most common adverse effects were constipation (33.3%), heartburn (13.8%), and abdominal pain (12.6%). The adherence rate was 67.1%. CONCLUSIONS: Oral ferrous sulfate supplementation is not an effective method to increase preoperative Hb in patients scheduled for hip or knee arthroplasty, and its use is associated with adverse effects.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 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".