MADRS Total Calculator

MADRS10independently clinically coded0–6 items; no symptom coding or diagnostic conclusion. Sum only independently assessed codes for the declared instrument/version; exact maxima [6, 6, 6, 6, 6, 6, 6, 6, 6, 6] and minima [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]. Unknown items preserve possible total bounds without imputation. No questionnaire reproduction, clinical item assignment, norm, diagnosis, treatment or outcome prediction.

Description

MADRS totals summarize independently coded depression-severity items under an adopted version.

MADRS totals summarize independently coded depression-severity items under an adopted version.1

Arithmetic totals do not administer the assessment or choose diagnostic cutoffs.

When to use MADRS Total Calculator

Use this tool to calculate or review the supplied observations under the stated rules. Establish the assessment or recording protocol, units, instrument version and independently applicable reference or calibration.

How to use MADRS Total Calculator and understand its results

  1. Establish the assessment or recording protocol, units, instrument version and independently applicable reference or calibration.
  2. Enter independentlyCodedItemScores, itemKnownFlags, using the field meanings and rules below, then run the tool.
  3. Read result.knownItemSum, result.minimumPossibleTotal, result.maximumPossibleTotal, result.unknownItemIndices. Use the units and sign conventions below. Review unresolved records and any possible bounds separately from known results.
  4. Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.
Input fieldMeaningValue typeRequirement
independentlyCodedItemScoresIndependently coded item scoreslist of numberRequired
itemKnownFlagsItem known flags; binary 1 means the matched observation is known, 0 means unknownlist of numberRequired

Enter exactly 10 independently coded scores and matched binary known flags. The per-position inclusive minima are [0,0,0,0,0,0,0,0,0,0] and maxima are [6,6,6,6,6,6,6,6,6,6]. Scores must be multiples of 1, checked within a 1e-10 tolerance in score/step. Every score, including an unknown placeholder, must obey the bounds. Sum known scores; add unknown minima and maxima for possible total bounds. Unknown item indices are zero-based. Reverse coding, administration, item order and applicability are externally established; the tool does not supply questions, perform an assessment or select clinical cutoffs.

Zero-based columnCriterion
0Adopted component 0: minimum 0, maximum 6; independently apply the instrument's item order and key
1Adopted component 1: minimum 0, maximum 6; independently apply the instrument's item order and key
2Adopted component 2: minimum 0, maximum 6; independently apply the instrument's item order and key
3Adopted component 3: minimum 0, maximum 6; independently apply the instrument's item order and key
4Adopted component 4: minimum 0, maximum 6; independently apply the instrument's item order and key
5Adopted component 5: minimum 0, maximum 6; independently apply the instrument's item order and key
6Adopted component 6: minimum 0, maximum 6; independently apply the instrument's item order and key
7Adopted component 7: minimum 0, maximum 6; independently apply the instrument's item order and key
8Adopted component 8: minimum 0, maximum 6; independently apply the instrument's item order and key
9Adopted component 9: minimum 0, maximum 6; independently apply the instrument's item order and key
knownSum=Σ(score_i×known_i); possibleMin=knownSum+Σ_unknown(min_i); possibleMax=knownSum+Σ_unknown(max_i)

Use the matching field units and the exact boundary, ordering and reference rules above.

Output fieldMeaningValue type
resultStructured result; its nested fields below contain the actual calculation or selected referenceobject
result.knownItemSumSum of independently coded scores whose known flag equals 1; partial if any item is unknownnumber
result.minimumPossibleTotalKnown contribution plus every unknown component's permitted minimumnumber
result.maximumPossibleTotalKnown contribution plus every unknown component's permitted maximumnumber
result.unknownItemIndicesZero-based positions of items marked unknownlist
json
{
  "input": {
    "independentlyCodedItemScores": [
      1,
      1,
      1,
      1,
      1,
      1,
      1,
      1,
      1,
      1
    ],
    "itemKnownFlags": [
      1,
      1,
      1,
      1,
      1,
      1,
      1,
      1,
      1,
      1
    ]
  },
  "output": {
    "result": {
      "knownItemSum": 10,
      "minimumPossibleTotal": 10,
      "maximumPossibleTotal": 10,
      "unknownItemIndices": []
    }
  }
}

Limitations and assumptions

Actual acquisition, assessment protocol, instrument version and calibration determine applicability. The tool does not examine a person, classify images, administer a questionnaire or choose diagnostic cutoffs.

Missing required fields, unknown fields, wrong types and violated rules return input issues. Numeric values and outputs must be finite. Lists and matrices must be dense, without missing cells. Numeric lists allow at most 10000 entries; ordinary string lists allow at most 128 strings of 128 UTF-16 units each; numeric matrices allow at most 128 rows and 128 columns, subject to narrower requirements above. Extremely large composite outputs are rejected.

Alternative or Complementary methods

For a related step, use Yale-Brown Obsessive Compulsive Scale Calculator: The Yale–Brown obsessive-compulsive scale summarizes independently coded symptom-severity items under an adopted version. For a complementary comparison, use PHQ-9 Total Calculator: PHQ-9 totals summarize nine independently coded symptom items.

References

  1. MADRS Total Calculator — tool.io

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