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The PCOS Cesarean Rate: What Explains It, and What Doesn't

9 min read

Written by Sarah CollinsChecked against the 2023 International Evidence-Based Guideline for the Assessment and Management of PCOSLast reviewed Published

A registered dietitian and clinician review is being arranged for this site. Until this article carries a named reviewer, treat it as a well-sourced summary of published guidance — not as a substitute for advice about your own case.

The short answer

A 2024 meta-analysis of 37 studies found cesarean odds 23% higher in PCOS (OR 1.23, 95% CI 1.06–1.43). The obvious explanation — bigger babies from gestational diabetes — does not hold: macrosomia odds were not significantly different (OR 1.13). Matching for BMI did not shrink the gap either; it stayed at 1.57.

Is the Cesarean Rate Actually Higher With PCOS?

This page sits inside this site’s fertility coverage, focused specifically on delivery mode rather than conception odds or the risks a pregnancy carries more broadly. Yes, by about a quarter, in the largest dataset assembled on the question. A 2024 meta-analysis pooling 104 studies and 106,690 pregnancies found cesarean delivery reported in 37 of those studies — 3,590 women with PCOS against 23,017 without — at an odds ratio of 1.23 (95% CI 1.06–1.43). For scale, cesarean delivery accounted for 32.3% of all US births in 2023 (CDC/NCHS); the PCOS figure above is a relative risk sitting on top of whatever a person’s own baseline already looks like, not a rate you can read off directly.

That 1.23 also comes with real disagreement between the underlying studies — I² = 63.5%, a moderate-to-high level of heterogeneity — pooled from research spanning five continents. A single pooled number is the best available summary, not a claim that every population or hospital shows the same size of gap.

The instinctive explanation is the one most people reach for first: PCOS raises the odds of gestational diabetes 2.4-fold, at OR 2.41 (95% CI 1.95–2.99) in the same analysis — a link covered in full on PCOS pregnancy risks — gestational diabetes is well known for producing larger babies, and larger babies are a recognized reason for induction or a planned cesarean. Each individual step in that chain is a real, well-documented mechanism in obstetrics generally. The question worth actually checking is whether it is the mechanism here.

Does a Bigger Baby Explain It? What the Birth-Outcomes Data Actually Shows

It does not — babies born to mothers with PCOS are not larger, despite the higher gestational diabetes rate. A companion 2024 meta-analysis of 73 studies and 92,881 offspring found macrosomia (birth weight above roughly 4,000 g) at OR 1.13 (95% CI 0.95–1.35) across 62,489 offspring, and large for gestational age at OR 1.14 (95% CI 0.98–1.33) across 11,081 — neither reaching statistical significance. PCOS risks to the baby covers this finding in full, including a second, independent 2025 analysis restricted to IVF pregnancies that reached the same null result. Two separate datasets, the same absence of a signal.

So What Does Explain the Higher Rate?

Matching study groups for age and body mass index did not shrink the gap — if anything, it looked larger in the smaller set of studies designed that way. The 106,690-pregnancy analysis broke the cesarean finding down by subgroup, and the pattern holds up everywhere it was tested:

Table 1 — the PCOS-cesarean odds ratio across every subgroup a 2024 meta-analysis tested.
SubgroupStudiesOdds ratio (95% CI)
All studies, unmatched371.23 (1.06–1.43)
Matched for age only91.57 (1.24–2.00)
Matched for age and BMI together61.57 (1.19–2.07)
Highest-quality studies only71.58 (1.19–2.09)
Prospective studies only151.44 (1.07–1.95)
Conceived through assisted reproduction (ART)70.96 (0.83–1.12) — not significant
Restricted to pregnancies where both groups already had GDM31.69 (1.19–2.39)

Three things stand out. First, matching for BMI does not make the gap disappear the way it would if excess weight were the whole story — the point estimate in the age-and-BMI-matched studies (1.57) sits higher than the unmatched pool (1.23), though the two confidence intervals overlap enough that this should be read as “did not shrink,” not as proof the true effect grew. Second, the excess essentially vanishes in pregnancies conceived through assisted reproduction (OR 0.96) — a single subgroup of seven studies, but a striking one. Third, restricting to pregnancies where gestational diabetes was already present in both groups still showed higher odds with PCOS (1.69) — meaning gestational diabetes is not simply substituting for the whole effect. The meta-analysis’s own authors put it plainly: cesarean section odds “appear to be independent of, but worsened by,” GDM.

Induction of labor itself was not reliably different — OR 1.62 (95% CI 0.97–2.70) across 8 studies, a wide confidence interval crossing 1. That is a genuinely odd result next to a 2.4-fold higher GDM rate, since GDM is one of the more common reasons an obstetric team recommends induction. The same paper offers one possible read:

How Much of This Is PCOS, and How Much Is Confounding?

The honest answer is that nobody has isolated it yet. The meta-analysis’s authors are explicit about the limit of what aggregate study-level data can test: “we could only explore confounding factors in relation to age, BMI, or post-ART populations; hence, other potentially important confounders could not be accounted for.” Parity is the obvious gap — a first delivery carries a higher cesarean rate than a later one in the general obstetric population, and PCOS pregnancies skew toward first pregnancies more often given how many involve fertility treatment. Whether the delivery was an elective, pre-planned cesarean or an emergency one during labor was not reported at all across the 37 studies, which means this dataset cannot say whether the gap is mostly a before-labor decision or mostly something that happens once labor starts.

What can be said with more confidence: this is not a weight story on its own. Insulin sensitivity runs about 27% lower in PCOS than in matched controls, independent of BMI, in a meta-analysis of 28 gold-standard clamp studies — the same independence-from-BMI pattern insulin resistance in PCOS describes outside of pregnancy shows up again here, in a completely different outcome. A reader’s body weight is one input among several the data cannot yet separate out, not the explanation on its own.

This is also exactly why unresolved evidence still changes practice. The 2023 international guideline recommends that a PCOS diagnosis be flagged to a maternity team at the very start of pregnancy — not because the mechanism behind the higher cesarean odds is fully mapped, but because the odds themselves are well-enough established across 106,690 pregnancies to act on before the mechanism is.

Does It Matter Whether You Conceived Through IVF?

It appears to, based on the one subgroup that tested it directly. The excess odds of cesarean essentially disappeared in the post-ART subgroup above (OR 0.96, 95% CI 0.83–1.12, across 7 studies) — a single analysis, not a replicated finding, but a real one worth naming rather than averaging away. The same null result held for macrosomia within ART pregnancies specifically. One plausible reading is that ART pregnancies already receive more standardized, protocol-driven obstetric monitoring regardless of the underlying diagnosis, which may narrow out some of the gap a spontaneously conceived PCOS pregnancy shows. That reading is not confirmed in this data; it is a hypothesis the pattern supports, not a conclusion the pattern proves.

What About a Second Delivery After a First Cesarean?

Whether a later delivery is a repeat cesarean or a vaginal birth after cesarean depends on why the first cesarean happened and on the current pregnancy’s own circumstances — a clinical decision made with an obstetric team, not something population-level odds ratios can resolve. What does recur with real, quantifiable numbers is covered separately: a second PCOS pregnancy’s own data on gestational diabetes and hypertensive-disorder recurrence, which are the two conditions most likely to shape that conversation, without touching mode of delivery directly.

Who This Data Does Not Apply To

  • If you conceived through IVF or ICSI, the single subgroup analysis available found no significant excess (OR 0.96) — the population-level gap described above may not describe your situation at all.
  • If you are looking for a country- or hospital-specific rate, this pooled estimate spans five continents with real disagreement between studies (I² = 63.5%); a single national or regional cesarean rate can sit well above or below 1.23.
  • If you are carrying twins, none of the figures above were reported separately for multiple pregnancies, which carry a materially different delivery-mode profile on their own.
  • If you already have a diagnosed hypertensive disorder or pre-existing diabetes, those conditions carry their own, larger, independent effect on delivery mode that this dataset was not built to isolate from PCOS.
  • No study identified here broke this down by PCOS phenotype — classic, lean, ovulatory, or otherwise — so no figure above should be read as more or less applicable to one pattern over another.

You may see PCOS written as polyendocrine metabolic ovarian syndrome (PMOS), after a 2026 global consensus of more than 50 organisations renamed it. Every figure above still applies under either name — only the label changed, and this article uses PCOS because that is still what most readers search.

Common questions

  • Is the C-section rate really higher with PCOS?

    Yes — a 2024 meta-analysis of 37 studies found cesarean delivery at OR 1.23 (95% CI 1.06–1.43) in PCOS pregnancies compared with non-PCOS pregnancies. That is a relative increase on top of a general-population rate that was already 32.3% of US births in 2023.
  • Does PCOS cause bigger babies, which explains the higher cesarean rate?

    No. The same research group's companion analysis found macrosomia at OR 1.13 (95% CI 0.95–1.35) and large for gestational age at OR 1.14 (95% CI 0.98–1.33) — neither significantly different from non-PCOS pregnancies, across tens of thousands of offspring.
  • Does body weight explain the higher cesarean rate?

    Not on its own. Studies that matched women with and without PCOS for age and BMI still found higher cesarean odds — OR 1.57 (95% CI 1.19–2.07) — a gap that did not shrink when weight was accounted for, meaning something beyond body weight is also contributing.
  • Is the cesarean rate higher after IVF or ICSI?

    In the one subgroup that tested it directly, no. Pregnancies conceived through assisted reproduction showed no significant difference (OR 0.96, 95% CI 0.83–1.12) across 7 studies — unlike the higher odds found in the overall, mostly spontaneously conceived pooled result.
  • Does gestational diabetes explain the higher cesarean rate?

    Partly, but not fully. The meta-analysis's authors describe the higher cesarean odds as independent of gestational diabetes but worsened by it — within pregnancies where both groups already had gestational diabetes, PCOS still carried higher odds (OR 1.69, 95% CI 1.19–2.39).
  • Does having PCOS mean a repeat cesarean is more likely next time?

    This page does not have population data on that specific question — whether a later delivery is a repeat cesarean or a vaginal birth after cesarean depends on the reason for the first one and is a decision made with an obstetric team, not a fixed statistic.

More on this

Sources

  1. 1.Bahri Khomami M, Shorakae S, Hashemi S, et al. Systematic review and meta-analysis of pregnancy outcomes in women with polycystic ovary syndrome. Nat Commun. 2024.
  2. 2.Bahri Khomami M, Hashemi S, Shorakae S, et al. Systematic review and meta-analysis of birth outcomes in women with polycystic ovary syndrome. Nat Commun. 2024.
  3. 3.Cassar S, Misso ML, Hopkins WG, Shaw CS, Teede HJ, Stepto NK. Insulin resistance in polycystic ovary syndrome: a systematic review and meta-analysis of euglycaemic-hyperinsulinaemic clamp studies. Hum Reprod. 2016.
  4. 4.Teede HJ, Tay CT, Laven JJE, et al. Recommendations From the 2023 International Evidence-based Guideline for the Assessment and Management of Polycystic Ovary Syndrome. J Clin Endocrinol Metab. 2023.
  5. 5.Teede HJ, Khomami MB, Morman R, et al. Polyendocrine metabolic ovarian syndrome, the new name for polycystic ovary syndrome: a multistep global consensus process. Lancet. 2026.

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