TriangleNCT00346164 · OUTCOME
Incidence of Distant Metastasis
Results reported by the registry submitting party. Population, time horizon, units and missing values must be read together.
- Measure
- NUMBER
- Unit
- Percentage of participants
- Interval / dispersion
- 95% Confidence Interval
- Time frame
- Up to 10 years
What was measured
Percent of patients who had distant metastasis.
Analysis population: 94 participants were excluded because of ineligibility, incorrect treatment, or absence of evaluation for tumor invasiveness and histologic grade.
Groups in this outcome
Histologic Grade 1
Not reported
Histologic Grade 2
Not reported
Histologic Grade 3
Not reported
| Group | Source count |
|---|---|
| Histologic Grade 1 | 60 |
| Histologic Grade 2 | 79 |
| Histologic Grade 3 | 355 |
Reported measurements
Source class 1
| Group | Value | Spread | Lower | Upper | Comment |
|---|---|---|---|---|---|
| Histologic Grade 1 | 0.00 | Not reported | 0.00 | NA | Dispersion can't be estimated because no participants with histological grade 1 had a distant metastasis. |
| Histologic Grade 2 | 5.06 | Not reported | 0.23 | 9.90 | Not reported |
| Histologic Grade 3 | 23.38 | Not reported | 18.98 | 27.78 | Not reported |
Source statistical analyses
- group Description
- The logistic regression model was used to evaluate prognostic impact of histologic (POG) grade after accounting for the effects of disease extent (non-metastatic; metastatic), site of the primary tumor (body wall; extremity; head/neck; visceral), tumor size (\<=5cm; \>5cm), tumor depth (deep; superficial), tumor invasiveness (invasive; non-invasive), and extent of resection of the primary tumor (less than total resection; margin -; margin +) .
- group Ids
- OG000
- OG001
- OG002
- non Inferiority Type
- OTHER
- p Value
- 0.0228
- statistical Comment
- Firth logistic regression is used to overcome the issue of quasi-complete separation of data points.
- statistical Method
- Regression, Logistic
Complete source fields
- analyses
- group Description
- The logistic regression model was used to evaluate prognostic impact of histologic (POG) grade after accounting for the effects of disease extent (non-metastatic; metastatic), site of the primary tumor (body wall; extremity; head/neck; visceral), tumor size (\<=5cm; \>5cm), tumor depth (deep; superficial), tumor invasiveness (invasive; non-invasive), and extent of resection of the primary tumor (less than total resection; margin -; margin +) .
- group Ids
- OG000
- OG001
- OG002
- non Inferiority Type
- OTHER
- p Value
- 0.0228
- statistical Comment
- Firth logistic regression is used to overcome the issue of quasi-complete separation of data points.
- statistical Method
- Regression, Logistic
- classes
- categories
- measurements
- comment
- Dispersion can't be estimated because no participants with histological grade 1 had a distant metastasis.
- group Id
- OG000
- lower Limit
- 0.00
- upper Limit
- NA
- value
- 0.00
- group Id
- OG001
- lower Limit
- 0.23
- upper Limit
- 9.90
- value
- 5.06
- group Id
- OG002
- lower Limit
- 18.98
- upper Limit
- 27.78
- value
- 23.38
- denoms
- counts
- group Id
- OG000
- value
- 60
- group Id
- OG001
- value
- 79
- group Id
- OG002
- value
- 355
- units
- Participants
- description
- Percent of patients who had distant metastasis.
- dispersion Type
- 95% Confidence Interval
- groups
- id
- OG000
- title
- Histologic Grade 1
- id
- OG001
- title
- Histologic Grade 2
- id
- OG002
- title
- Histologic Grade 3
- param Type
- NUMBER
- population Description
- 94 participants were excluded because of ineligibility, incorrect treatment, or absence of evaluation for tumor invasiveness and histologic grade.
- reporting Status
- POSTED
- time Frame
- Up to 10 years
- title
- Incidence of Distant Metastasis
- type
- SECONDARY
- unit Of Measure
- Percentage of participants
Download exact source JSON → · Snapshot ctgov-results-191f4516d4760045304b24a0
Preserved source evidence · Not medical advice