Autopsy report · NCT07493798

Serum Potassium Prediction Using Machine Learning and Single-lead ECG

“Lack of resources”

The sponsor’s own words in the registry.

Life of this trial

• Withdrawn before it enrolled anyone. Its dates are the sponsor's plans, not events that happened.

Vital statistics

Status

Withdrawn

Sponsor

Brigham and Women's Hospital

Sponsor type

University, hospital or other

Conditions

Infection; Heart Failure; Chronic Obstructive Pulmonary Disease; Asthma; Gout Flare; Chronic Kidney Diseases

Interventions

Potassium estimation algorithm

Participants

0

Sites

2

Countries

United States

Trials that died the same way

• Efficacy of Para-Tyrosine Supplementation on the Survival and Clinical Outcome in Patients With Sepsis
  “Lack of resources to start” (89% match in meaning)
• A Challenge Study to Assess the Blood-stage Efficacy of Full-length SUM-101 Malaria Vaccine Candidate
  “Not enough resources” (84% match in meaning)
• Ultra-low Dose Subcutaneous IL-2 in Renal Transplantation
  “lack of funding/resources” (82% match in meaning)
• Effects of Empowerment-based Program on Post-discharge Glycemic Control, and Foot Ulcer
  “Lack of financial resources” (82% match in meaning)
• Prediction of Expected Length of Hospital Stay Using Machine Learning
  “Insufficient resources.” (81% match in meaning)

Look deeper

• The official registry record (the source of truth)
• Record history: every change the sponsor made
• Open it in the database

Everything here comes from the current ClinicalTrials.gov record. The timeline uses the record’s dates; dates marked planned are the sponsor’s plans. The cause of death is an automatic, unverified label. This is research information, not medical advice.