There are many types of gonadotropins: some are recombinant , others are urinary derived. some contain LH like activity , others do not. which to use?? many research with conflicting results but the final word came from Cochrane mega- systematic review. This talk will illustrate this issue
2. GN: FINAL WORD
Madelon van Wely1, Irene Kwan2, Anna L Burt3, Jane
Thomas4, Andy Vail5, Fulco Van der Veen6, Hesham G
Al-Inany
3. 3
WHY DO WE NEED THIS TALK
To update our knowledge and understanding
To provide evidence for decision-makers
To provide our patients with best care based on
Evidence
6. IBSA
Satel
lite
Sym
posi
um
6
WHY SR ARE ON THE TOP
Rigorous methodology
Peer reviewed
Relatively large sample size
Ensures the highest quality evidence (based on
RCT)
10. 10
HOW TO KNOW
large randomised trial is needed to estimate the
difference between human derived Gn and rFSH
(van Wely et al., 2003).
11. 11
SAMPLE SIZE CALCULATION FOR SUCH RCT
For a study to have 80% power to detect a difference of 5% in
ongoing pregnancies (or live births), it will need to randomise
over 2400 women (Andersen et al, 2006)
Which is unlikely to happen (huge fund and long duration)
12. 12
SO THE SOLUTION
systematic review and meta-analysis of
randomised trials comparing the effectiveness of
hMG versus rFSH following a long down-regulation
protocol in IVF-ICSI cycles
13. HOWEVER,
Several systematic reviews and one international
Health Technology Assessment report compared
rFSH with urinary gonadotrophins (hMG, FSH-P,
FSH-HP) Daya 1998; Larizgoitia 2000; Agrawal
2000; Daya 2002;Van Wely 2003;NCC-WCH
2004;Al-Inany 2003; Al-Inany 2008;Coomarisamy
2008).
19. CONFLICTING RESULTS
Two reviews compared rFSH to urinary FSH and
found higher pregnancy rates per cycle started for
rFSH (Daya 2002, updated from Daya 1998).
Three reviews compared rFSH versus urinary
gonadotrophins (hMG, FSH-P, FSH-HP together)
and found no evidence of a difference between
these two groups (Larizgoitia 2000;Al-Inany
2003;NCC-WCH 2004).
20. MOREOVER
Three reviews compared rFSH with hMG and and
reported evidence of a difference in live birth and
clinical pregnancy rate per cycle between rFSH and
hMG (Van Wely 2002;Al-Inany 2008;Coomarisamy
2008).
21. CONFOUNDING FACTORS
Firstly, gonadotrophin-releasing hormone (GnRH)
agonists and GnRH antagonist are often used in
conjunction with gonadotrophins to facilitate cycle
control and achieve pituitary down-regulation in
ovarian stimulation during assisted reproductive
treatment cycles.
22. INFLUENCE OF PHARMACEUTICAL COMPANIES
Secondly many trials have been performed by
pharmaceutical companies and the conflict of
interest may have introduced bias.
23. CRYO EMBRYOS
Thirdly, it is now customary to freeze
supernumerary embryos and to transfer
frozen/thawed embryos if transfer of fresh embryos
has failed.
24. OBJECTIVES
To compare the effectiveness of recombinant
gonadotrophin (rFSH) with the three main types of
urinary-derived gonadotrophins (i.e. hMG, FSH-P
and FSH-HP) for ovarian stimulation in women
undergoing IVF or ICSI treatment cycles.
26. TYPES OF STUDIES
Randomised controlled trials only.
Quasi-randomised controlled trials, in which
allocation was, for example, by alternation or
reference to case record number or to dates of
birth, were excluded.
Crossover trials were excluded since the design is
not appropriate in this context (Vail 2003)
27. TYPES OF PARTICIPANTS
Normogonadotrophic (defined as having normal
serum concentration of FSH and LH) women
undergoing fresh and/or frozen-thawed IVF or ICSI
treatment cycles
28. PRIMARY OUTCOMES
Effectiveness:
live birth per woman or, if not reported, pregnancy
ongoing beyond 20 weeks per woman
Adverse:
Rate of severe OHSS per woman
30. 42 RCTS
including 8 abstracts form congress proceedings)
met all selection criteria and were included in the
review.
The total number of participants was 9606
31. RESULTS
There was no evidence of a difference in live
birth or pregnancy ongoing beyond 20 weeks (28
trials, N=7339; OR 0.97, 95% CI 0.87 - 1.08) for
rFSH versus urinary gonadotrophins.
Meaning 25% live birth rate (22-26% in different
centers)
32. SUBGROUP ANALYSIS: HMG VS RFSH
There were significantly less live births after rFSH
as compared to hMG (11 trials, N=3197; OR 0.84,
95% CI 0.72 - 0.99).
This means that for a live birth rate of 25%, use of
rFSH instead would be expected to result in a live
birth rate between 19% and 25%.
33. ACCORDING TO DOWNREGULATION
There was no evidence of a difference in live birth
between rFSH and urinary gonadotrophins for any
of the downregulation protocols
(antagonist protocol, N=280; OR 0.88, 95% CI 0.53
- 1.45),
(long GnRHa protocol, N=6437; OR 0.98, 95% CI
0.87 - 1.10),
(short GnRHa protocol, N=402; OR 0.84, 95% CI
0.54 - 1.31),
(no downregulation, N=220; OR 1.17, 95% CI 0.62 -
2.20)
34. SEVERE OHSS
There was no evidence of a difference in the
primary safety outcome OHSS
(32 trials, N=7740; OR 1.18, 95% CI 0.86 - 1.61).
Typical rate of 2% OHSS
35. 35
HOW TO INTERPRET THE FIGURES!
A benefit from recombinant FSH would be
displayed graphically to the left of the centre-line.
A benefit from hMG would be displayed graphically
to the right of the centre-line
44. ECONOMIC ANALYSIS
IVF/ICSI cycle, there are probabilities
- Pregnancy
- No pregnancy
- Abortion
- Repeat trial (usually up to 3 cycles)
- Stop trial
45. EXAMPLE : HMG, 1ST CYCLE
Start Cycle
10,000
Ovum Pickup
No OHSS
Ovum Pickup
OHSS
9810
190
Fertilization
& Transfer
No Oocytes
373+7=380
9437+183=9620
Clinical
Pregnancy
-ve βHCG
2982
6638
Ongoing
Pregnancy
Miscarriage
405
2577
3246
3392
Continue
Stop
Goal!
Therefore, for a cohort of 10,000 individuals the expected,
mathematically exact, outcome at the end of the 1st cycle is
380+405+3392 = 4177 patients who will restart the cycle, and
2577 who achieved ongoing pregnancy, and 3246 who gave
up on IVF from the first trial
46. MARKOV EV ANALYSIS: RFSH
rFSH: By the end of the 3rd cycle, the individual’s probability of ending at re-starting
the cycle is 6.6%, in ongoing pregnancy is 35.9%, and in discontinuing IVF is 57.5
%
% Start Cycle
% Pregnancy
% Stop IVF
0
0.2
0.4
0.6
0.8
1
1.2
1 2 3 stop
Cycle
Probability
47. MARKOV EV ANALYSIS: HMG
% Start Cycle
% Pregnancy
% Stop IVF
0
0.2
0.4
0.6
0.8
1
1.2
1 2 3 stop
Cycle
Probability
hMG: By the end of the 3rd cycle, the individual’s probability of ending at re-starting
the cycle is 6%, in ongoing pregnancy is 40.8%, and in discontinuing IVF is 53.2 %