Participant Characteristics for a Prognostic Core Outcome Set in Advanced Cancer

A 2026 figshare dataset by Caitlin Medlock presents participant characteristics from a study to develop a preliminary Core Outcome Set for evaluating prognostic models in advanced cancer. The dataset is 13.5 KB in size and contains data from a systematic review, patient interviews, and a two-round Delphi survey with 49 international experts. It supports the standardization of outcome selection and reporting in prognostic impact studies.

Use Cases

• Standardizing outcome reporting in clinical trials based on the identified 9 core outcomes across five domains.
• Analyzing expert consensus data based on the results of a two-round Delphi survey with 49 participants.
• Investigating patient and caregiver perspectives on prognostication based on outcomes identified from in-depth interviews.

Strengths

• Data is derived from a systematic review of 70 outcomes and in-depth interviews contributing 16 more.
• Delphi survey involved 49 international experts from 14 countries, with 31 completing both rounds.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 13.5 KB file size suggests a very limited scope of data.

Provenance

Source

Caitlin Medlock via figshare.

Collection Method

Data likely gathered from a systematic review, patient/caregiver/clinician interviews, and a modified Delphi survey.

Time Range

The study and dataset creation were likely completed around 2026.

Freshness

Last updated 2026-04-09 17:30:59.

Geography

International, with expert panel participation from 14 countries.