Prognostic value of existing scoring systems for early mortality in phase I immunotherapy trials: a head-to-head real-world cohort study - Scorecard - MDSpire

Evaluating the Prognostic Utility of Established Scoring Systems for Early Mortality in Phase I Immunotherapy Trials: A Comparative Real-World Cohort Analysis

  • By

  • Paloma Sangro

  • Ana Landa-Magdalena

  • Miguel Sogbe

  • Teresa Zumarraga

  • Ignacio Matos

  • Mariano Ponz-Sarvise

  • Marina Crespo

  • María Esperanza Rodriguez-Ruiz

  • Anna Vilalta-Lacarra

  • Eduardo Castañón

  • July 20, 2026

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Clinical Scorecard: Evaluating the Prognostic Utility of Established Scoring Systems for Early Mortality in Phase I Immunotherapy Trials: A Comparative Real-World Cohort Analysis

At a Glance

CategoryDetail
ConditionPhase I Immunotherapy Trials
Key MechanismsPrognostic scoring systems for predicting early mortality
Target PopulationPatients enrolled in phase I oncology clinical trials
Care SettingComprehensive cancer center

Key Highlights

  • Study included 844 patients treated with immunotherapy in phase I trials.
  • Median overall survival (OS) was 9.08 months.
  • ROPRO score showed the highest 3-month AUC at 0.76.
  • No score identified a subgroup with median OS below 3 months.
  • All scores demonstrated statistically significant prognostic stratification.

Guideline-Based Recommendations

Diagnosis

  • Utilize established prognostic scores (RMH, GRIm, LIPI, PIPO, ROPRO) for patient stratification.

Management

  • Consider integrating dynamic clinical or molecular biomarkers into prognostic models.

Monitoring & Follow-up

  • Regularly assess the performance of prognostic scores in clinical practice.

Risks

  • Be aware of the potential for premature death in up to 15% of enrolled patients.

Patient & Prescribing Data

Patients with advanced malignancies enrolled in phase I trials.

Prognostic scores can aid in identifying patients unlikely to benefit from trial participation.

Clinical Best Practices

  • Use prognostic scores as stratification factors rather than rigid exclusion criteria.
  • Maintain clinical judgment alongside the use of prognostic tools.

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