A researcher is studying the prognosis of patients diagnosed with pancreatic adenocarcinoma. Data points from 45 patients are obtained and used to generate the following Kaplan-Meier curve. The red line represents the survival curve, and the dashed lines represent the 95% confidence limits. Which of the following conclusions can be drawn from this figure?

Around 20% of individuals passed away within 50 days after diagnosis

Around 20% of individuals passed away within 20 days after diagnosis

Around 20% of individuals passed away within 50 days after diagnosis

Around 60% of individuals passed away within 80 days after diagnosis

Individuals with pancreatic adenocarcinoma have a worse prognosis than those with colorectal adenocarcinoma

Patients with more advanced stages of pancreatic adenocarcinoma have a higher 60-day mortality

Kaplan-Meier survival analysis

Foundational SciencesBiostatistics, epidemiology, population health, and interpretation of the medical literatureEpidemiology and population healthSurvival analysis interpretation

USMLE® Step 1 ReviewBiostatistics, epidemiology, population health, and interpretation of the medical literatureEpidemiology and population healthSurvival analysis interpretation

USMLE® Step 2 ReviewBiostatistics, epidemiology, population health, and interpretation of the medical literatureBack to the Basic SciencesEpidemiology and population healthSurvival analysis interpretation

Definitions & Key takeaways

Kaplan-Meier survival analysis is a statistical technique used to estimate the chance of survival (or failure) for a group of patients (or other objects) over time. It does this by partitioning the total time into intervals and computing the proportion of subjects who are still alive or still in the study at the end of each interval.

Kaplan-Meier survival analysis

Definitions & Key takeaways

No notes for this video yet

Ask Osmosis AI

Try the full Osmosis experience

Related

Up next

Level 2