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Followup Source Support Share Tool

Audit explicit research follow-up source support without imputing clinical endpoints.

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Description

Audit explicit research follow-up source support without imputing clinical endpoints.

Research lesion records distinguish measured dimensions, geometric size models, censoring conventions, assessment denominators, and follow-up timing. An axis product, percent change, or coverage measure describes only its stated inputs and model. Such arithmetic does not automatically implement a clinical response criterion or validate a study.

Audit explicit research follow-up source support without imputing clinical endpoints.

When to use this tool

Use Followup Source Support Share when you need this research measurement, assessment-base, source, or event-time calculation.

How to use the tool and how it works

  1. Enter supported, required. Keep parallel arrays aligned. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read supportedRequired, requiredCount, share, defined. Inspect defined before interpreting the associated values.

Require aligned supported and required flags. Return requiredCount, supportedRequired, and share=supportedRequired/requiredCount when positive, otherwise zero with defined=false.1

Input fieldMeaning and unitsAccepted input
supportedSupportedRequired. Array of boolean; maximum items 256.
requiredRequiredRequired. Array of boolean; maximum items 256.
Output fieldInterpretationReturned shape
supportedRequiredSupported RequiredRequired. Safe integer.
requiredCountRequired CountRequired. Safe integer.
shareDimensionless share using the stated denominator, not a percentage numeral.Required. Finite number.
definedWhether the stated denominator or quantity is defined; inspect before using a placeholder.Required. Boolean.
json
{
  "input": {
    "supported": [
      true,
      false,
      true
    ],
    "required": [
      true,
      true,
      false
    ]
  },
  "output": {
    "supportedRequired": 1,
    "requiredCount": 2,
    "share": 0.5,
    "defined": true
  }
}

Limitations and assumptions

  • Optional entries cannot improve support. The flags are supplied and a completeness share does not establish adequate follow-up, unbiased missingness, reliable sources, or a clinical outcome.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.

Alternative or Complementary methods

Use the intended study protocol and a complete measurement or analysis model for a broader conclusion. Verify lesion definitions, censoring, measurement correspondence, time anchors, and missing-assessment policy.

References

  1. Calculation and input contract: oncology/followup-source-support-share — tool.io

Similar or alternative tools

  • Lesion Mask Sampling Share

    Account for sampled pixels in supplied disjoint research masks; no lesion detection, staging or prognosis.

  • Lesion Measurement Resolution Gap

    For nonnegative measured and reference and positive quantum return difference=measured-reference and quantumSteps=difference/quantum.