Table 3.
PPGL cohorts stratified by the GAPP algorithm.
| Study No. | First Author (Year Published) | Number of PCCs | Number of Malignant PCCs * | Definition of Malignant PCCs * | Mal PCCs GAPP ≥ 3 | Mal PCCs GAPP < 3 | Benign PCCs GAPP ≥ 3 | Benign PCCs GAPP < 3 | SENS | SPEC | PPV | NPV |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A. PCC cohorts stratified by the GAPP algorithm. | ||||||||||||
| 1 | Kimura (2014) | 126 | 24 | MET | npd | npd | 0 | 102 | npd | npd | npd | npd |
| 2 | Koh (2017) | 32 | 4 | MET | 2 | 2 | 19 | 9 | 50% | 32% | 10% | 82% |
| 3 | Stenman (2018) | 41 | 0 | REC/MET | 0 | 0 | 16 | 25 | npd | 61% | npd | npd |
| Summarized | - | 199 | 28 | - | 2 | 2 | 35 | 136 | 50% | 80% | 5% | 99% |
| B. PGL cohorts stratified by the GAPP algorithm. | ||||||||||||
| 1 | Kimura (2014) | 36 | 16 | MET | npd | npd | 0 | 20 | npd | npd | npd | npd |
| 2 | Gupta (2016) | 10 | 4 | MET | 4 | 0 | 6 | 0 | 100% | 0% | 40% | npd |
| 3 | Koh (2017) | 5 | 0 | MET | 0 | 0 | 4 | 1 | npd | 20% | npd | npd |
| Summarized | - | 51 | 20 | - | 4 | 0 | 10 | 21 | 100% | 68% | 29% | 100% |
PCC—pheochromocytoma, PGL—paraganglioma, MET—metastatic disease, REC—recurrence; MET—metastatic disease, REC—recurrence, ns - not specified, npd—not possible to determine; SENS—sensitivity, SPEC—specificity, PPV—positive predictive value; PPV—positive predictive value, NPV—negative predicitive value; *—Numbers correspond to cases histologically investigated, which is not necessarily identical to cases included in the study as a whole. Numbers in bold script at the bottom represent summarized values for all parameters, with corresponding SENS, SPEC, PPV and NPV values calculated for these sums.