Premature-death patient listing — pd_PatientListing • gsm.kri

`r lifecycle::badge("experimental")`

`DT` table of flagged premature-death subjects.

Usage

pd_PatientListing(
  dfResults,
  dfDeath,
  dfSubjects = NULL,
  dfExclusion = NULL,
  dfAE = NULL
)

dfResults: `data.frame` Reporting results containing patient-level rows.
dfDeath: `data.frame` Mapped death data keyed on `subjid`.
dfSubjects: `data.frame` (optional) Mapped subject data with `subjid`, `invid`, and optionally `studyid` / `country`. When supplied, the output includes `studyid` (when present, as the leftmost column), `invid`, and `country` (when present) as visible columns for study-, site-, and country-level filtering in the interactive report.
dfExclusion: `data.frame` (optional) Mapped exclusion data with `subjid` and `Source` (as produced by `EXCLUSION.yaml`). When supplied with a `Source` column, the output gains a three-valued `eligibility_status` column: `"Ineligible"` when `Source != "Neither"` (matching the `kri0014` rule), `"Eligible"` when `Source == "Neither"`, and `"Unknown"` when the subject has no matching exclusion row.
dfAE: `data.frame` (optional) Mapped AE data with `subjid`, `aetoxgr`, and `aerel` (`"RELATED"`/`"NOT RELATED"`). Used to compute the Treatment Related column: `"Yes"` when `deathcls` is an adverse event AND the subject has a fatal (`aetoxgr==5`) treatment-related AE; `"No"` when `deathcls` is an adverse event AND the subject has a fatal (`aetoxgr==5`) not-treatment-related AE, or when `deathcls` is not an AE AND there is no fatal treatment-related AE; `"Unknown"` otherwise (mixed signals, or missing `deathcls`/AE evidence). `death_reason` is `deathcls` (else `"Unknown"`).

A `DT::datatable` htmlwidget.