| Literature DB >> 34596579 |
João Castro-Teles1, Bernardo Sousa-Pinto2,3, Sandra Rebelo1,4,5, Duarte Pignatelli1,4,6,7.
Abstract
OBJECTIVE: Pheochromocytomas are a hallmark feature of von Hippel-Lindau disease (vHL). To our knowledge, this is the first systematic review with meta-analysis evaluating the frequency of pheochromocytomas and/or paragangliomas (PPGLs) in patients with vHL, as well as among patients with different vHL subtypes.Entities:
Keywords: frequency; paraganglioma; pheochromocytoma; systematic; von Hippel–Lindau
Year: 2021 PMID: 34596579 PMCID: PMC8630766 DOI: 10.1530/EC-21-0294
Source DB: PubMed Journal: Endocr Connect ISSN: 2049-3614 Impact factor: 3.335
Figure 1Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram illustrating study selection process.
Meta-analytical results on the frequency of pheochromocytoma and/or paraganglioma (PPGL) among patients with von Hippel–Lindau disease (vHL).
| Frequency (%, 95% CI) | Q Cochran | ||||
|---|---|---|---|---|---|
| Participants with vHL (all vHL types) | |||||
| Frequency of participants with PPGL | 45 | 4263 | 19.4 (15.9–23.6) | <0.001 | 86.1% |
| Participants with bilateral pheochromocytoma | 14 | 59.5 (47.0–70.9) | 0.611 | 0% | |
| Males with PPGL | 15 | 58.3 (47.6–68.4) | 0.837 | 0% | |
| Participants with vHL type 2 | 840 | ||||
| Frequency of participants with PPGL | 52 | 60.0 (53.4–66.3) | <0.001 | 54.6% | |
| Participants with PPGL in vHL type 2A | 28 | 411 | 58.2 (49.7–66.3) | 0.010 | 36.2% |
| Participants with PPGL in vHL type 2B | 24 | 256 | 49.8 (39.9–59.7) | 0.013 | 42.7% |
| Participants with PPGL in vHL type 2C | 11 | 52 | 84.1 (75.1–93.1) | 0.932 | 0% |
Results of meta-regression and subgroup analysis concerning the frequency of pheochromocytoma and/or paraganglioma (PPGL) among patients with von Hippel–Lindau disease (vHL) of all types.
| Meta-regression | Subgroup analysis | ||||||
|---|---|---|---|---|---|---|---|
| OR (95% CI) | Frequency (%, 95% CI) | Q Cochran | |||||
| Publication year | 45 | 4263 | 1.04 (1.01–1.08) | 0.013* | –a | –a | –a |
| Sample size | 45 | 4263 | 1.00 (1.00–1.00) | 0.818 | –a | –a | –a |
| % of males | 24 | 648 | 1.01 (0.98–1.03) | 0.554 | –a | –a | –a |
| Mean cohort age | 9 | 444 | 1.05 (0.96–1.16) | 0.300 | –a | –a | –a |
| Mean onset age of vHL | 13 | 1863 | 0.98 (0.91–1.07) | 0.697 | –a | –a | –a |
| Region | 45 | 4263 | – | 0.802b | |||
| Europe | 21 | 2148 | –c | –c | 19.1 (14.5–24.9) | <0.001 | 84.4% |
| Asia and Pacific | 16 | 1116 | 0.97 (0.55–1.71) | 0.923 | 18.5 (12.9–25.9) | <0.001 | 76.7% |
| America | 8 | 999 | 1.23 (0.62–2.44) | 0.558 | 21.0 (11.4–35.3) | <0.001 | 92.6% |
| Sampling method | 45 | 4263 | – | 0.352b | |||
| Consecutive | 19 | 3684 | –c | –c | 20.5 (16.3–25.5) | <0.001 | 90.1% |
| Convenience | 11 | 178 | 1.22 (0.61–2.41) | 0.576 | 22.4 (11.7–38.7) | <0.001 | 69.4% |
| Not specified | 15 | 401 | 0.72 (0.40–1.28) | 0.261 | 15.3 (9.9–23.0) | <0.001 | 61.2% |
| Diagnosis method | 45 | 4263 | – | 0.888b | |||
| Included genetic testing/not specified | 42 | 4086 | –c | –c | 19.7 (16.1– 23.8) | <0.001 | 85.0% |
| Clinical criteria only | 3 | 177 | 0.93 (0.32–2.70) | 0.888 | 27.7 (3.2–81.6) | <0.001 | 91.8% |
aNot performed, as this is a continuous variable; bOmnibus P value for this variable; cReference category; *Statistically significant P value.
Results of meta-regression and subgroup analysis concerning the frequency of pheochromocytoma and/or paraganglioma (PPGL) among patients with von Hippel–Lindau disease (vHL) type 2A.
| Meta-regression | Subgroup analysis | ||||||
|---|---|---|---|---|---|---|---|
| OR (95% CI) | Frequency (%, 95% CI) | Q Cochran | |||||
| Publication year | 28 | 411 | 0.98 (0.93–1.03) | 0.384 | –a | –a | –a |
| Sample size | 28 | 411 | 1.00 (0.99–1.01) | 0.573 | –a | –a | –a |
| Region | 28 | 411 | – | 0.306b | –a | –a | –a |
| Europe | 11 | 255 | –c | –c | 59.6 (48.9–69.5) | <0.165 | 35.4% |
| Asia and Pacific | 11 | 69 | 0.60 (0.25–1.41) | 0.239 | 48.8 (32.3–65.5) | 0.135 | 32.2% |
| America | 6 | 87 | 1.29 (0.48–3.44) | 0.617 | 73.4 (37.2–92.8) | 0.009 | 80.1% |
| Sampling method | 28 | 411 | – | 0.118b | |||
| Consecutive | 3 | 24 | –c | –c | 55.8 (24.3–83.2) | 0.142 | 50.3% |
| Convenience | 21 | 370 | 0.99 (0.32–3.01) | 0.981 | 56.1 (47.4–64.5) | 0.012 | 33.9% |
| Not specified | 4 | 17 | 5.39 (0.81–35.76) | 0.081 | 87.6 (61.0– 97.0) | 0.767 | 0% |
| Diagnosis | 28 | 411 | – | 0.427b | |||
| Included genetic testing/not specified | 27 | 409 | –c | –c | 57.9 (49.3–66.0) | 0.008 | 36.9% |
| Clinical criteria only | 1 | 2 | 2.69 (0.38–19.08) | 0.427 | 83.3 (19.4–99.0) | <0.001 | 0% |
aNot performed, as this is a continuous variable; bOmnibus P value for this variable; cReference category.
Results of meta-regression and subgroup analysis concerning the frequency of pheochromocytoma and/or paraganglioma (PPGL) among patients with von Hippel–Lindau disease (vHL) type 2B.
| Meta-regression | Subgroup analysis | ||||||
|---|---|---|---|---|---|---|---|
| OR (95% CI) | Frequency (%, 95% CI) | Cochran | |||||
| Publication year | 24 | 256 | 1.00 (0.95–1.05) | 0.965 | –a | –a | –a |
| Sample size | 24 | 256 | 1.00 (0.96–1.04) | 0.975 | –a | –a | –a |
| Region | 24 | 256 | – | 0.138b | –a | –a | –a |
| Europe | 7 | 83 | –c | –c | 37.8 (27.8–48.9) | 0.778 | 0% |
| Asia and Pacific | 11 | 105 | 1.97 (0.85–4.57) | 0.112 | 55.0 (39.3–70.0) | 0.066 | 45.2% |
| America | 6 | 68 | 2.55 (0.91–7.12) | 0.074 | 58.8 (30.4–82.4) | 0.052 | 58.0% |
| Sampling method | 24 | 256 | – | 0.361b | |||
| Consecutive | 4 | 62 | –c | –c | 45.6 (24.0–69.0) | 0.094 | 59.1% |
| Convenience | 15 | 155 | 1.48 (0.58–3.80) | 0.412 | 55.9 (46.1–65.2) | 0.135 | 12.7% |
| Not specified | 5 | 39 | 0.72 (0.21–2.51) | 0.606 | 40.8 (17.2–69.4) | 0.118 | 47.7% |
| Diagnosis | 24 | 256 | – | 0.301b | |||
| Included genetic testing/not specified | 20 | 222 | –c | –c | 46.2 (35.8–56.9) | 0.021 | 44.4% |
| Clinical criteria only | 4 | 34 | 2.04 (0.70–5.92) | 0.301 | 73.5 (45.7–90.0) | 0.272 | 29.6% |
aNot performed, as this is a continuous variable; bOmnibus P value for this variable; cReference category.
Figure 2Risk of bias graph depicting the assessment of the methodological quality of included primary studies. Risk of study bias items assessed: aStudy’s target population as a close representation of the vHL national population. bSampling frame as a true or close representation of the target population. cSample selection based on a random/consecutive process. dLikelihood of nonresponse bias. eAcceptable case definition used in the study. fSame mode of evaluation for all subjects. gNumerator and denominator appropriate.