Connection

WOLFGANG WINKELMAYER to Biomarkers

This is a "connection" page, showing publications WOLFGANG WINKELMAYER has written about Biomarkers.
Connection Strength

0.253
  1. Detecting clinically meaningful biomarkers with repeated measurements: An illustration with electronic health records. Biometrics. 2015 Jun; 71(2):478-86.
    View in: PubMed
    Score: 0.064
  2. A J-shaped association between high-sensitivity C-reactive protein and mortality in kidney transplant recipients. Transpl Int. 2007 Jun; 20(6):505-11.
    View in: PubMed
    Score: 0.037
  3. Surrogate markers in clinical studies: problems solved or created? Am J Kidney Dis. 2006 Jul; 48(1):159-66.
    View in: PubMed
    Score: 0.035
  4. The role of complement in kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Kidney Int. 2024 Sep; 106(3):369-391.
    View in: PubMed
    Score: 0.030
  5. Defining myocardial infarction in trials of people receiving hemodialysis: consensus report from the SONG-HD MI Expert Working group. Kidney Int. 2023 06; 103(6):1028-1037.
    View in: PubMed
    Score: 0.028
  6. Management and treatment of glomerular diseases (part 2): conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Kidney Int. 2019 02; 95(2):281-295.
    View in: PubMed
    Score: 0.021
  7. Common Elements in Rare Kidney Diseases: Conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Kidney Int. 2017 10; 92(4):796-808.
    View in: PubMed
    Score: 0.019
  8. Greater Epoetin alfa (EPO) doses and short-term mortality risk among hemodialysis patients with hemoglobin levels less than 11 g/dL. Pharmacoepidemiol Drug Saf. 2009 Oct; 18(10):932-40.
    View in: PubMed
    Score: 0.011
  9. Prognostic associations between lipid markers and outcomes in kidney transplant recipients. Am J Kidney Dis. 2006 Mar; 47(3):509-17.
    View in: PubMed
    Score: 0.009
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.