Results 241 to 250 of about 2,079,920 (381)

Reliability of serum iron, ferritin, nitrite, and association with risk of renal cancer in women [PDF]

open access: green, 2003
M Aktar Ali   +5 more
openalex   +1 more source

Total Neoadjuvant Therapy Versus Conventional Neoadjuvant Therapy for Rectal Cancer: Cost Analysis in a Public Healthcare System

open access: yesANZ Journal of Surgery, EarlyView.
Costs of neoadjuvant therapy. ABSTRACT Purpose Total neoadjuvant therapy (TNT) has become the standard of care in locally advanced rectal cancer, but its economic impact is unclear. This study compares the cost of TNT with conventional neoadjuvant therapy (CNT), consisting of either short‐course radiotherapy or long‐course chemoradiotherapy, within a ...
Ishraq Murshed   +6 more
wiley   +1 more source

Effect of Empagliflozin on Serum Ferritin and Its Relationship With Inflammatory Markers in Prediabetic and Diabetic Patients. [PDF]

open access: yesJ Diabetes Res
Sanjari M   +5 more
europepmc   +1 more source

High Prevalence of Helicobacter pylori in the Alaska Native Population and Association with Low Serum Ferritin Levels in Young Adults

open access: gold, 2000
Alan J. Parkinson   +7 more
openalex   +1 more source

Selective iron supplementation based on serum ferritin values early in pregnancy: are the Norwegian recommendations satisfactory? [PDF]

open access: bronze, 2003
Berit Sandstad   +8 more
openalex   +1 more source

Iron overload in hereditary spherocytosis: Are genetic factors the cause?

open access: yesBritish Journal of Haematology, EarlyView.
Summary Non‐transfusional iron overload (IOL) in hereditary spherocytosis (HS) is poorly documented compared with other red blood cell disorders. We studied 13 HS adults with confirmed IOL to identify potential genetic factors. Using a next‐generation sequencing panel of 46 genes related to HS, anaemia and iron metabolism, we found no association ...
Lucie Donaty   +6 more
wiley   +1 more source

Serum ferritin associated with atherogenic lipid profiles in a high-altitude living general population. [PDF]

open access: yesPeerJ
Jin M   +8 more
europepmc   +1 more source

Can we identify individuals at risk to develop multiple myeloma? A machine learning‐based predictive model

open access: yesBritish Journal of Haematology, EarlyView.
Individuals who may develop multiple myeloma within 5 years. Stage I (left) identifies patient and control groups and variables that differ between them. Stage II (middle) develops a complex SGBOOST model to predict future MM patients. Stage III (right) develops a simplified model.
Moshe Mittelman   +8 more
wiley   +1 more source

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