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Clinical calculator summary

Palliative Survival Prediction Panel

A combined display of PaP and PPI estimates for advanced-cancer prognostic assessment.

Evidence-based context for fast calculator use

Purpose:
Compare complementary palliative prognostic signals and make uncertainty visible
Population:
Patients with advanced cancer receiving palliative-care assessment
Factors:
PaP clinical and laboratory inputs, PPI bedside inputs, Trajectory, Reversible causes
Reference:
Pirovano et al., J Pain Symptom Manage. 1999; Morita et al., Support Care Cancer. 1999
HomePalliative Survival Prediction
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Palliative Survival Prediction

x10^9/L
%

Clinical Context & Background

This panel displays the original PaP and PPI as separate prognostic components. PaP uses direct KPS, general dyspnea, clinician prediction, and current laboratory data. PPI uses direct PPS and dyspnea at rest. KPS is never inferred from PPS, PPS is never inferred from KPS, and the two dyspnea definitions are not merged.
The PaP and PPI component implementations and their independent panel orchestration are verified separately. This page does not average, maximize, or combine their outputs into a new prognostic phase or score.
Formula Logic
PaP and PPI are calculated independently. No validated combined score or phase synthesis is produced.

Reference Data

ComponentPublished result
PaP Group AOriginal PaP 0-5.5
PaP Group BOriginal PaP >5.5-11
PaP Group COriginal PaP >11-17.5
PPI >4Predicts survival <6 weeks
PPI >6Predicts survival <3 weeks

Clinical Workflow

Use, Interpret, And Continue The Patient Pathway

Expand for workflow guidance, limitations, examples, and related next steps.

When To Use

  • Use when both PaP and PPI inputs are available and a structured comparison may support communication and care planning.
  • Use only when the patient and clinical setting match the population described for Palliative Survival Prediction Panel.

How To Interpret

  • Agreement can strengthen a probabilistic impression; disagreement should prompt review of trajectory, reversible factors, and input timing.
  • Interpret thresholds with the entered units, current clinical status, and local guideline context.

What To Do Next

  • Communicate ranges and uncertainty, align care with patient goals, and reassess after material clinical change.
  • Document the inputs, result, clinical judgment, and any reason for deviating from the model-guided pathway.

Limitations

  • Do not convert two prognostic tools into certainty or a fixed individual survival date.
  • This calculator supports clinical assessment and does not independently prescribe treatment.

Validated Population

Patients with advanced cancer receiving palliative-care assessment

Clinical example

If PaP and PPI disagree, review clinician survival prediction, delirium reversibility, recent decline, and laboratory timing before counseling.

Calculation verification history

Verified
  1. : Production browser revalidation

    • Three source-backed cases passed through all visible PaP and PPI controls at the minimum, the PaP 6/PPI 5 transition profile, and the PaP 12/PPI 7.5 high profile.
    • Both components matched their independent expected results and the summary used neutral result/applicability wording without a combined prognosis or agreement/discordance synthesis.
    • No unexpected N/A, stale control, literal undefined/null value, or browser-console error was observed.
    Download latest production check (Excel)

    Case-level evidence is retained in validation/browser-revalidation/panel-palliative-2026-08-03.json.

  2. : Local browser remediation verified; production retest pending

    • Ten source-backed cases passed through visible controls on the corrected local route across 11 submissions.
    • PaP and PPI remained separate across thresholds, component-only, not-applicable, partial-invalid, and reset/repeat paths.
    • No unified score, combined prognosis, agreement/discordance synthesis, averaging, or worse-child selection was displayed. The original production findings remain open until deployment and public revalidation.

    Case-level local remediation evidence is retained in validation/browser-production/panel-palliative.local-remediation.json.

  3. : Production browser validation

    • Ten source-backed cases were exercised on the public production route through visible browser controls; 0/10 case records passed their expected-versus-observed assertions across 11 visible submissions.
    • Overall browser status: failed-ui-safety-and-console. critical: Every rendered case was headed `Unified Panel Results`, described as a `Combined assessment from multiple tools`, and instructed users to compare `agreement and discordance alongside the unified panel result`. | medium: Production emitted minified React error #418 during route loads/reloads used by this run.
    • Case-level inputs, expected and observed results, reset/repeat behavior, failure reproductions, and console evidence are retained in the production-browser evidence record.

    Case-level production evidence is retained in validation/browser-production/panel-palliative.json.

  4. : Exact input guidance for skipped and invalid components

    • PaP and PPI unavailable explanations now use "Please review" and list the exact visible entries in parentheses.
    • No score, cutoff, model endpoint, population rule, or panel-independence behavior changed.

    All 1,040 existing panel assertions pass; current report remains applicable.

  5. : Input-quality and partial-completion verification

    • Marked all 13 panel fields optional at panel level and identified the PaP or PPI component that consumes each field.
    • An entirely blank component now reports Skipped; a partially completed component reports Invalid Input; a complete PaP scope exclusion reports Not Applicable; valid sibling results remain available.
    • Removed the unsupported 0.1 laboratory step restriction while retaining the verified PaP WBC and lymphocyte ranges, and normalized finite numeric values produced by browser/custom step controls without changing PaP or PPI formulas.
    • Passed 1,040/1,040 panel checks, including 12 new skip, partial, scope, sibling-preservation, and numeric-normalization cases.
  6. : Full validation test

    • Passed 1,024/1,024 independent panel checks across exact PaP and PPI parity, child validity/isolation, KPS/PPS and dyspnea divergence, concordant/discordant results, malformed envelopes, multi-result rows/traces/snapshots, copy/save serialization, reset wiring, and immutability.
  7. : Correction history

    • Removed unsourced Stable, Transitional, and Imminent phase synthesis, deterministic survival headlines, worse-child selection, and the misleading PaP Biology/PPI Symptoms simplification. The panel now presents only independent original PaP and PPI results with no combined prognosis.
  8. : PaP component implementation verified

    • Passed 756/756 exact standalone-to-panel PaP child parity projections; added direct KPS distinct from PPI PPS, separate PaP dyspnea and PPI dyspnea-at-rest, independent child traces/snapshots, and neutral invalid-child handling. Whole-panel synthesis remained in review at this stage.
  9. : PPI component previously verified

    • The standalone PPI implementation remained verified and unchanged. This event did not by itself verify whole-panel orchestration.

Verification confirms the calculator implementation against the cited model; it is not independent clinical validation, regulatory approval, or medical advice.

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Frequently Asked Questions

What is Palliative Survival Prediction Panel used for?

Compare complementary palliative prognostic signals and make uncertainty visible. It is intended for patients with advanced cancer receiving palliative-care assessment.

Does Palliative Survival Prediction Panel determine treatment by itself?

No. Confirm the population, inputs, contraindications, competing risks, and current guideline recommendations before acting on the result.

Evidence-based oncology decision support. Verify with clinical guidelines.