| Literature DB >> 24788853 |
Friedemann Zengerling1, Michael Hartmann2, Axel Heidenreich3, Susanne Krege4, Peter Albers5, Alexander Karl6, Lothar Weissbach7, Walter Wagner8, Jens Bedke9, Margitta Retz10, Hans U Schmelz11, Sabine Kliesch12, Markus Kuczyk13, Eva Winter14, Tobias Pottek15, Klaus-Peter Dieckmann16, Andres Jan Schrader1, Mark Schrader1.
Abstract
In 2006, the German Testicular Cancer Study Group initiated an extensive evidence-based national second-opinion network to improve the care of testicular cancer patients. The primary aims were to reflect the current state of testicular cancer treatment in Germany and to analyze the project's effect on the quality of care delivered to testicular cancer patients. A freely available internet-based platform was developed for the exchange of data between the urologists seeking advice and the 31 second-opinion givers. After providing all data relevant to the primary treatment decision, urologists received a second opinion on their therapy plan within <48 h. Endpoints were congruence between the first and second opinion, conformity of applied therapy with the corresponding recommendation and progression-free survival rate of the introduced patients. Significance was determined by two-sided Pearson's χ2 test. A total of 1,284 second-opinion requests were submitted from November 2006 to October 2011, and 926 of these cases were eligible for further analysis. A discrepancy was found between first and second opinion in 39.5% of the cases. Discrepant second opinions led to less extensive treatment in 28.1% and to more extensive treatment in 15.6%. Patients treated within the framework of the second-opinion project had an overall 2-year progression-free survival rate of 90.4%. Approximately every 6th second opinion led to a relevant change in therapy. Despite the lack of financial incentives, data from every 8th testicular cancer patient in Germany were submitted to second-opinion centers. Second-opinion centers can help to improve the implementation of evidence into clinical practice.Entities:
Mesh:
Year: 2014 PMID: 24788853 PMCID: PMC4055348 DOI: 10.3892/or.2014.3153
Source DB: PubMed Journal: Oncol Rep ISSN: 1021-335X Impact factor: 3.906
Figure 1Concept and data flow of the second-opinion project for patients with testicular cancer. After one-time-only user registration, any urologist is able to request a second opinion from one of the 31 participating second-opinion centers. The primary clinical, pathological and imaging data of the respective patient can be put in a 21-item data mask online (step 1). A system-immanent algorithm helps to avoid misinformation. Physicians at the respective second opinion center are then required to recommend a therapy (step 2). In complex cases, they can enter into a dialogue with the physician making the inquiry. The data center registers the applied therapy 3 months after the request for a second opinion (step 3) and carries out a follow-up 2 years later (step 4).
Patient characteristics.
| Variables | n |
|---|---|
| Total second-opinion requests | 1,284 |
| Requests from colleagues in private practice and hospital departments | 926 |
| Answers/second-opinion giver (range, 0–199) | 29.9±51.1 |
| Average patient age in years | 37.0±11.3 |
| Histological finding at time of diagnosis of germ cell tumor | |
| Seminoma | 424 (45.8%) |
| Average age in years | 40.9±10.7 |
| Non-seminoma | 454 (49.0%) |
| Average age in years | 31.8±11.3 |
| Unclear whether seminoma or non-seminoma | 48 (5.2%) |
358 second-opinion requests from colleagues working at one of the 31 institutions serving as second-opinion centers were excluded from the present analysis.
Concordance between the first and second opinion in relation to tumor stage (n=926).
| First and second opinion | ||||||
|---|---|---|---|---|---|---|
|
| ||||||
| Clinical tumor stage(categorized) | Concordant n (%) | Discordant: second opinion more extensive therapy n (%) | Discordant: no clear difference in the scope of therapy n (%) | Discordant: first opinion more extensive therapy n (%) | Concordance status not clear n (%) | Total n (%) |
| I | 357 (66.0) | 26 (4.8) | 87 (16.1) | 65 (12.0) | 6 (1.1) | 541 (100) |
| IIa, IIb | 78 (44.3) | 15 (8.0) | 55 (31.3) | 21 (11.9) | 8 (4.5) | 177 (100) |
| IIc, IIIa, IIIb, IIIc | 83 (48.8) | 15 (8.8) | 49 (28.8) | 16 (9.4) | 7 (4.1) | 170 (100) |
| Unknown | 19 (48.7) | 1 (2.6) | 15 (41.0) | 1 (2.6) | 2 (5.1) | 38 (100) |
| Total | 537 (58.0) | 57 (6.2) | 206 (22.2) | 103 (11.1) | 23 (2.5) | 926 (100) |
Patients were classified according to the Lugano classification. The scope of therapy was evaluated according to the guideline recommendations for the respective tumor stage (7,8). Pearson’s χ2 (two-sided) showed that the percentage of discrepant recommendations increased significantly with increasing tumor stage (p<0.001).
52.5% good prognosis group; 29.0% intermediate prognosis group; 18.5% poor prognosis group.
Two-year progression-free survival in relation to tumor stage (n=188).
| Clinical tumor stage (categorized) | Progression-free at 2-year follow-up | Total n (%) | |
|---|---|---|---|
|
| |||
| Yes n (%) | No n (%) | ||
| Ia, Ib, Is | 118 (95.2) | 6 (4.8) | 124 (100) |
| IIa, IIb | 23 (92.0) | 2 (8.0) | 25 (100) |
| IIc, IIa, IIIb, IIIc | 24 (75.0) | 8 (25.0) | 32 (100) |
| Unknown | 5 (71.4) | 2 (28.6) | 7 (100) |
| Total | 170 (90.4) | 18 (9.6) | 188 |
Patients were classified according to the Lugano classification. The progression-free survival rate was calculated using the 2-year follow-up data.
Analysis excluded 48 of 236 cases as the reply was ‘unknown’.