Example INSPECT-SR Dataset: EEG-Guided Anaesthesia and Delirium
Source:R/data.R
inspect_sr_example.RdA simulated eight-trial systematic review used to demonstrate the full INSPECT-SR workflow. The eight trials are hand-crafted to span a range of trustworthiness profiles and to exercise every automated check.
Format
A tibble with one row per study. Every INSPECT-SR item has its own column so that the expected layout is immediately obvious. Variable-length inputs to the automated Domain 4 checks (Table 1 baselines and reported test statistics) are stored in list-columns.
studyCharacter. Study identifier (must be unique).
n_randomised_int,n_randomised_ctrl,n_randomised_total,n_analysed_int,n_analysed_ctrl,n_lost_int,n_lost_ctrlInteger participant-flow columns feeding check 4.6.
d1_1..d1_3,d2_1..d2_5,d3_1..d3_2,d4_1..d4_11Character. Manual judgement for each INSPECT-SR item. Allowed values:
"No concerns","Some concerns","Serious concerns",NA. The four automated items (d4_3,d4_6,d4_8,d4_9) are left asNAand filled in byinspect_sr().d1_1_comment..d4_11_commentCharacter. Optional free-text comment attached to each judgement.
baselineList-column. Each element is a data frame of Table 1 variables with columns
variable,mean_int,sd_int,mean_ctrl,sd_ctrl,p_value,integer_scale. Feeds GRIM (4.8) and Carlisle (4.3).statisticsList-column. Each element is a data frame of reported tests with columns
test_type,statistic,df,df2,reported_p,context. Feeds the p-value check (4.9).outcome_estimate,outcome_ci_lower,outcome_ci_upper,outcome_se,outcome_log_scalePrimary outcome (odds ratio for delirium incidence) — values are on the log scale.
Details
The eight trials, their expected behaviour under the automated checks, and the INSPECT-SR item they illustrate:
| Study | Profile | Expected flag |
| Callahan (1994) | Clean small trial | None |
| Peek (2005) | Clean large multi-centre | None |
| Clayton (2010) | Clean | None |
| Singer (2003) | Clean (large trial) | None |
| Underwood (2013) | Some concerns (late registration) | Manual D2 |
| Rosa (2008) | Too-perfect baseline balance | Carlisle (4.3) |
| Doe (1995) | Retracted; GRIM failures on integer scale | GRIM (4.8), manual D1/D2/D3 |
| Kint (1995) | CONSORT arithmetic off | N consistency (4.6) |
All values are fabricated for didactic purposes. The layout matches the
schema expected by inspect_sr(), so the whole review can be assessed
in one call.
Examples
data(inspect_sr_example)
# Frequentist assessment
res <- inspect_sr(inspect_sr_example, verbose = FALSE)
res
#>
#> INSPECT-SR Trustworthiness Assessment
#> ==================================================
#>
#> Study D1 D2 D3 D4 Overall
#> ----------------------------------------------------------------------
#> Callahan (1994) OK OK OK OK No concerns
#> Peek (2005) OK OK OK OK No concerns
#> Clayton (2010) OK OK OK OK No concerns
#> Singer (2003) OK OK OK OK No concerns
#> Underwood (2013) OK SOME -- OK Some concerns
#> Rosa (2008) OK SOME -- SERIOUS Serious concerns
#> Doe (1995) SERIOUS SERIOUS SOME SERIOUS Serious concerns
#> Kint (1995) -- -- -- SERIOUS Serious concerns
#>
#> Domains: D1 post-publication, D2 conduct/governance,
#> D3 text/figures, D4 results (auto-filled for 4.3/4.6/4.8/4.9)
#> OK = No concerns, SOME = Some concerns, SERIOUS = Serious concerns
#> -- = Not assessed
#>
#> For a per-check table, call inspect_sr_table().
#>
# Per-check table
inspect_sr_table(res)
INSPECT-SR Automated Check Details
Domain 4 per-check results
Check
Item
Detail
Result
if (FALSE) { # \dontrun{
# Bayesian assessment
bres <- inspect_sr(inspect_sr_example, bayes = TRUE, verbose = FALSE)
bres
} # }