Walk into any fertility clinic in India and you will encounter success rates. They appear on banners, on websites, in brochures, and in the first few minutes of consultation conversations. Seventy percent success rate. Eighty percent success rate. Some clinics claim rates approaching ninety percent.
And yet the national average live birth rate per IVF cycle in India — verified across well-designed studies and international registry data — is approximately 35 to 45 percent for women under 35. How can so many individual clinics be performing dramatically better than the national average? How can every clinic in a competitive marketplace be an outlier performing at twice the population rate?
The answer, of course, is that most of them are not. The numbers are real — in the narrow technical sense that someone calculated them from actual patient data. But the numbers are defined, constructed, and presented in ways that make comparison between clinics almost meaningless and that give couples a profoundly misleading picture of what to expect.
This article explains the specific mechanisms through which IVF success rates are constructed and presented in ways that inflate or distort the clinical reality. It is not an accusation against any specific clinic. It is a guide to reading the numbers critically — with the specific knowledge of what each definitional choice means — so that couples can evaluate what they are actually being told.
The Most Important Distinction: What Is the Denominator?
The single most important variable in an IVF success rate is what the denominator is — what the rate is calculated from.
A success rate is a fraction: successes divided by total attempts. The numerator — successes — can be defined in different ways, as described later. But the denominator is equally critical, and the choice of denominator can dramatically change the apparent success rate of the same underlying data.
Per stimulation cycle initiated: The rate is calculated by dividing successes by the total number of women who began an IVF stimulation cycle — including those whose cycle was cancelled before retrieval because of poor response or other complications, and including those whose cycle produced no suitable embryos for transfer.
Per egg retrieval performed: The rate is calculated by dividing successes by the number of retrievals performed — excluding cancelled cycles but including cycles that produced no transferable embryos.
Per embryo transfer performed: The rate is calculated by dividing successes by the number of embryo transfers performed — excluding cancelled cycles, cycles with no embryos, and cycles where embryos were frozen and no fresh transfer took place.
The difference between these denominators is significant. Cancelled cycles — those that never reached retrieval — account for five to fifteen percent of initiated cycles at most clinics. Cycles that reach retrieval but produce no transferable embryos add further exclusions. Cycles that produce embryos but freeze all without a fresh transfer add still more.
A clinic that calculates its success rate per embryo transfer performed — excluding cancelled cycles, cycles with no embryos, and freeze-all cycles — will produce a meaningfully higher apparent success rate than a clinic that calculates per initiated cycle, even from exactly the same underlying patient outcomes.
The ethical reporting standard — and the standard used by regulatory bodies in countries that mandate IVF outcome reporting — is per initiated cycle, because this is the rate that answers the question every patient actually has: if I start an IVF cycle, what is the probability that I will have a baby?
When a clinic reports per transfer, the answer to that question is not what is being provided.
What Is the Numerator? The Success Definition Problem
The numerator — successes — is equally subject to definitional choices that affect the apparent rate.
Positive pregnancy test: The broadest and most favorable success definition. Any detectable hCG in the blood constitutes a "pregnancy" — including biochemical pregnancies that resolve within days without producing a clinical pregnancy.
Clinical pregnancy: Defined as a pregnancy confirmed by ultrasound visualization of a gestational sac — typically at four to six weeks of gestation. This excludes biochemical pregnancies but includes pregnancies that will subsequently miscarry.
Ongoing pregnancy: Defined as a pregnancy confirmed to be ongoing at ten to twelve weeks of gestation — past the highest-risk miscarriage period but before delivery. This excludes biochemical pregnancies and most first-trimester miscarriages.
Live birth rate: The only measure that answers the question every couple is asking: how likely am I to have a baby? This measures pregnancies that resulted in the birth of a live baby.
The difference between these definitions is clinically significant. In younger women, the gap between clinical pregnancy rate and live birth rate is modest — perhaps five to ten percentage points. In older women — where miscarriage rates are substantially higher — the gap can be twenty percentage points or more. A clinic that reports clinical pregnancy rates for its older patient population and labels this as a "success rate" may be providing a number that is twenty percentage points higher than the live birth rate that answers the actual clinical question.
The ethical reporting standard is live birth rate per initiated cycle — the only number that tells couples what they actually need to know.
The Patient Selection Problem
Even if a clinic reports live birth rates per initiated cycle, a third layer of potential distortion exists: the selection of which patients are included in the calculation.
IVF success rates vary enormously by patient characteristics — most importantly age, ovarian reserve, and clinical diagnosis. A clinic that preferentially treats younger women with good ovarian reserve and straightforward diagnoses will have dramatically higher success rates than a clinic of identical technical quality that treats a high proportion of older women, women with severely diminished reserve, and complex difficult cases.
The strategic implication is obvious. A clinic that wants to maximize its reported success rate can do so, without changing anything about its clinical practice, simply by declining to treat the most difficult cases — the older women, the poor responders, the recurrent implantation failures.
This patient selection effect operates in several ways.
Explicit patient selection: Some clinics set age cutoffs above which they will not treat patients with their own eggs, or AMH thresholds below which they will not attempt stimulation. The stated reason may be clinical — "we refer cases beyond our capacity to centers with more specialized resources." The unstated effect is that the rates reported by these clinics systematically exclude the patients who would most reduce the apparent success rate.
Implicit patient selection: Clinics that develop reputations for difficult cases — that actively market their expertise in failed IVF and poor responders — will attract a disproportionate proportion of hard cases. Their reported success rates, even if honestly calculated, will be lower than those of clinics treating a younger, better-prognosis population — not because they are less skilled, but because they are treating more difficult patients.
This is one of the most important inversions in evaluating IVF clinic quality: a clinic with a lower reported success rate that treats difficult cases may be clinically superior to a clinic with a higher reported success rate that treats only favorable cases.
The Cumulative Rate vs Per-Cycle Rate Distinction
A fourth source of confusion is the distinction between per-cycle and cumulative success rates.
A per-cycle rate describes the probability of success in a single IVF cycle. A cumulative rate describes the probability of success across multiple cycles — typically two, three, or more.
Cumulative rates are always higher than per-cycle rates — because cumulative calculation captures the additional probability of success added by each subsequent cycle. A clinic with a 40 percent per-cycle rate has a cumulative rate across three cycles of approximately 78 percent — because each additional cycle gives an additional 40 percent chance on the remaining non-pregnant population.
Presenting a cumulative multi-cycle rate without clearly labeling it as such — or presenting it alongside per-cycle rates without distinguishing — gives the impression of a much higher per-cycle probability than actually exists. A couple who hears "75 percent success rate" and interprets it as the probability of success in their first cycle has been given profoundly misleading information if the actual per-cycle rate is 40 percent.
The Fresh vs Frozen Transfer Distinction
A fifth definitional issue concerns what type of cycles are included in the reported rate.
Frozen embryo transfer cycles — in which previously frozen embryos are thawed and transferred in a subsequent cycle — typically produce higher per-transfer success rates than fresh transfer cycles in many patient populations. This is because frozen embryo transfers allow more controlled endometrial preparation, eliminate the suboptimal post-retrieval hormonal environment of a fresh cycle, and are more amenable to ERA-guided timing.
A clinic that includes frozen embryo transfer outcomes in its overall reported success rate — without distinguishing them from fresh cycles — will produce a higher apparent rate than a clinic reporting fresh transfer outcomes only. This is particularly misleading when the frozen transfers are from cycles initiated at a previous clinic — the current clinic takes credit for an outcome that the earlier clinic's stimulation contributed to equally.
Honest reporting should distinguish between fresh and frozen cycles, specify the source of the embryos in frozen cycles, and clarify whether rates reflect fresh stimulation-and-transfer cycles only or include subsequent frozen transfers.
The Verification Problem
In India, unlike in the United Kingdom, United States, or Australia, there is no independent national body that mandates and verifies IVF outcome reporting. Success rates are self-reported by clinics, without independent audit or verification.
This means that the numbers a clinic quotes have not been checked by anyone outside the clinic. They may be calculated from complete and accurate data, by a clinician who is genuinely committed to honest reporting. Or they may be calculated from selectively chosen data, by whatever definition most flatters the clinic's apparent outcomes. There is no external mechanism to distinguish between these two.
The Assisted Reproductive Technology (Regulation) Act 2021 has introduced regulatory requirements for ART clinics in India that will over time improve the oversight of reported outcomes. But the implementation of robust, audited outcome reporting — comparable to what the HFEA provides in the UK or SART provides in the US — is not yet fully established.
In the absence of external verification, the safest approach for couples is to ask clinics specific questions about how their success rates are calculated — and to apply the critical reading framework described in this article to the answers they receive.
The Questions Every Couple Should Ask About IVF Success Rates
When evaluating a clinic's quoted success rate, the following questions — asked directly — will reveal whether the number is clinically meaningful or potentially misleading.
Is this a live birth rate, a clinical pregnancy rate, or a positive test rate? Only live birth rate answers the question you are actually asking.
Is this calculated per initiated cycle, per retrieval, or per transfer? Only per initiated cycle includes cancelled cycles and cycles with no embryos.
What is the age breakdown of your patients? A rate across a young patient population is not the same as a rate for your age group.
Are fresh and frozen transfers reported separately, or combined? If combined, what proportion of the reported successes are from frozen transfers?
Is this a per-cycle rate or a cumulative multi-cycle rate? If cumulative, how many cycles does it cover?
Do you treat difficult cases — patients with low AMH, repeated implantation failure, advanced maternal age? If not, the rate reflects a selected favorable population that may not resemble yours.
A clinic that provides clear, specific, honest answers to these questions — even if the resulting number is lower than what a competitor quotes — is demonstrating the transparency that genuine clinical quality requires.
What Honest Success Rate Reporting Looks Like
Honest IVF success rate reporting specifies:
A live birth rate, calculated per initiated cycle, broken down by patient age group, reported separately for fresh and frozen transfer cycles, from a patient population that includes difficult cases rather than only favorable prognosis patients, verified against actual birth outcomes rather than pregnancy tests.
This is a higher bar than most clinics in India currently meet in their public communications. It is also the bar that couples deserve — because the decision to undergo IVF is one of the most significant decisions a couple makes, and it should be made on the basis of information that actually reflects what they can expect.
At Metro IVF in Ambikapur, Dr. Ashish Soni discusses success rates with every couple in precisely this way — specifying what each number means, what population it applies to, and what a realistic expectation looks like for the specific clinical picture of the couple in the consultation room.
The number he gives is not the highest available number. It is the most accurate one. And accuracy — even when the accurate number is less impressive than a competitor's inflated figure — is the foundation of the informed decision that every couple deserves.
Your Next Step
If you have been given success rate figures by a fertility clinic and want to understand what those numbers actually mean for your specific situation — or if you want an honest assessment of what realistic IVF outcomes look like for your age, reserve, and clinical picture — a consultation with Dr. Ashish Soni at Metro IVF in Ambikapur provides the most transparent and individually specific clinical guidance available.
The number that matters is not the highest number on a clinic's website. It is the number that accurately reflects your individual clinical probability. That number is what Metro IVF provides.
Metro IVF Test Tube Baby Center Ambikapur, Chhattisgarh metrofertility.in Led by Dr. Ashish Soni — North India's First Fertility Super Specialist
Honest numbers. Real expectations. Book your consultation with Dr. Ashish Soni at Metro IVF today.