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Related Concept Videos

Censoring Survival Data01:09

Censoring Survival Data

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Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
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A kidney transplant is a surgical approach that involves replacing a non-functioning kidney with a healthy one from a donor. This procedure is often a treatment option for end-stage renal disease (ESRD) patients. The method requires careful recipient selection, including evaluating various medical and psychosocial factors. These criteria vary between transplant centers but generally include assessments of the patient's overall health, adherence to medical recommendations, and lifestyle...
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Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
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Tissue transplantation is a significant medical procedure involving the transfer of cells, tissues, or organs from a donor to a recipient, with the primary aim of restoring lost functions. This procedure is crucial in treating a broad spectrum of diseases, including kidney diseases, liver failure, heart disease, and certain types of cancers.
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Related Experiment Video

Updated: Sep 26, 2025

Trans-vivo Delayed Type Hypersensitivity Assay for Antigen Specific Regulation
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COVID-19 and transplantation-Data censoring.

Vijay Subramanian1, Christopher Anderson2, Seth Karp3

  • 1Transplant Institute, Tampa General Hospital, Tampa, Florida, USA.

American Journal of Transplantation : Official Journal of the American Society of Transplantation and the American Society of Transplant Surgeons
|April 22, 2022
PubMed
Summary

The Scientific Registry of Transplant Recipients (SRTR) imposed a COVID-19 reporting blackout, potentially biasing transplant outcome data. This period may unfairly represent regional disparities in transplant success.

Keywords:
Scientific Registry for Transplant Recipients (SRTR)editorial/personal viewpointethics and public policylaw/legislationorgan transplantation in generalpatient survival

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Area of Science:

  • Transplantation Science
  • Epidemiology
  • Public Health Policy

Background:

  • The COVID-19 pandemic significantly impacted healthcare systems globally.
  • Organ transplant programs faced unprecedented challenges during the pandemic's early stages.
  • Data reporting in transplant registries is crucial for monitoring outcomes and quality improvement.

Purpose of the Study:

  • To analyze the implications of the Scientific Registry of Transplant Recipients (SRTR) reporting blackout period during the early COVID-19 pandemic.
  • To investigate the potential for bias in transplant outcome reporting introduced by this temporary suspension.
  • To assess the differential impact of the reporting blackout across various US regions.

Main Methods:

  • Review of SRTR guidelines and reporting timelines during the specified period (March 12, 2020 - June 12, 2020).
  • Analysis of the potential for selective reporting favoring certain regions over others.
  • Examination of how varied regional COVID-19 infection waves could influence transplant outcomes and reporting.

Main Results:

  • The SRTR implemented a "black out" period for transplant outcomes reporting.
  • This period may have introduced bias by selectively favoring certain regions.
  • Uneven effects of COVID-19 waves across the US could lead to skewed outcome data.

Conclusions:

  • The SRTR reporting blackout during the early pandemic may have obscured true transplant outcomes.
  • This data gap could disproportionately affect regions with different pandemic trajectories.
  • Further investigation is needed to understand and correct for potential biases in transplant registry data.