Conventional vs suPAR: Number of Patients With an Admission to the Intensive Care Unit
Calculated by ConductScience from the counts the trial posted to ClinicalTrials.gov.
Measures 6
Calculated by ConductScience from the counts the trial posted to ClinicalTrials.gov.
| Measure | Value | 95% interval, lower | 95% interval, upper | Method | Note | Source |
|---|---|---|---|---|---|---|
| Risk in group 1 | 0.13 | 0.123 | 0.138 | wilson | ClinicalTrials.gov | |
| Risk in group 2 | 0.13 | 0.123 | 0.137 | wilson | ClinicalTrials.gov | |
| Risk difference, group 1 minus group 2 | -0.0000165 | -0.0102 | 0.0102 | newcombe hybrid score | ClinicalTrials.gov | |
| Risk ratio, group 1 over group 2 | 1 | 0.924 | 1.08 | log | ClinicalTrials.gov | |
| Odds ratio, group 1 over group 2 | 1 | 0.914 | 1.09 | log | ClinicalTrials.gov | |
| Number needed to treat, for one fewer participant with the outcome on Conventional than on suPAR | 60,800 | from the risk difference interval | the interval includes no difference | ClinicalTrials.gov |
Groups 2
Neither group, or both, names a comparator, so the groups keep ClinicalTrials.gov's order.
| Group | Title | Description | With the outcome | Analysed | ClinicalTrials.gov code | Source |
|---|---|---|---|---|---|---|
| Group 1 | Conventional | no suPAR measurement. Standard care. | 1,027 | 7,901 | OG000 | ClinicalTrials.gov |
| Group 2 | suPAR | suPAR measurement and education of doctors working in the Emergency department in the meaning of low or elevated levels of suPAR. Since suPAR is measured on all patients regardless of disease the investigators cannot define a single intervention. A possible intervention depends on the clinical situation.~suPAR measurement: The biomarker suPAR will be measured on all patients included in the study. Before the study period the doctors will receive information on suPAR. We want to study if the information provided by suPAR is useful in emergency medicine. Interventions depends on the clinical issue, as suPAR is an unspecific marker of disease. Usually a elevated suPAR level could result in more investigation e.g. diagnostic procedures or follow up, while a low suPAR could result in faster discharge. | 1,157 | 8,900 | OG001 | ClinicalTrials.gov |
Outcome 5
| Field | Value | Source |
|---|---|---|
| Type | SECONDARY | ClinicalTrials.gov |
| Title | Number of Patients With an Admission to the Intensive Care Unit | ClinicalTrials.gov |
| Description | Number of Participants with transfer to the ICU | ClinicalTrials.gov |
| Time frame | 30 days | ClinicalTrials.gov |
| Population | ClinicalTrials.gov |
Trial 8
| Field | Value | Source |
|---|---|---|
| Title | Risk Stratification in Acute Care: The Meaning of suPAR Measurement in Triage | ClinicalTrials.gov |
| NCT number | NCT02643459 | ClinicalTrials.gov |
| Phases | NA | ClinicalTrials.gov |
| Conditions | Triage, Risk Stratification With Biomarker | ClinicalTrials.gov |
| Interventions | suPAR measurement | ClinicalTrials.gov |
| Lead sponsor | Herlev Hospital | ClinicalTrials.gov |
| Results first posted | 2021-03-09 | ClinicalTrials.gov |
| Results on ClinicalTrials.gov | https://clinicaltrials.gov/study/NCT02643459?tab=results | ClinicalTrials.gov |
Source 4
| Field | Value | Source |
|---|---|---|
| Release | trial-comparisons-2026-03-23-0.1.0 | ClinicalTrials.gov |
| Release manifest SHA-256 | f66225897fbf258b57ea10bdacfd0347d3cdfda93f7f5685234b7e06ea36fa57 | ClinicalTrials.gov |
| AACT copy | 2026-03-23 | ClinicalTrials.gov |
| Tables read | outcome_counts.parquet, outcome_measurements.parquet, outcomes.parquet, reported_event_totals.parquet, reported_events.parquet, result_groups.parquet, studies.parquet, ctgov_trial.parquet | ClinicalTrials.gov |
Release trial-comparisons-2026-03-23-0.1.0
ClinicalTrials.gov's posted results, through CTTI's AACT: ClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299 ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions. The measures are ConductScience's calculation from them.
ClinicalTrials.gov: none stated ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions. The measures are ConductScience's calculation from them.