Unexplained infertility affects about 30% of couples seeking help for infertility, yet the optimal ovulation induction strategy remains largely unclear. Letrozole, clomiphene citrate and gonadotropins are widely used, alone or in combination, with or without intrauterine insemination (IUI), but evidence of comparative effectiveness and safety is inconsistent. Most reviews are restricted to pairwise comparisons or mixed infertility populations. This protocol describes a systematic review and network meta-analysis (NMA) to compare ovulation induction strategies specifically in unexplained infertility.

Parallel-group randomised controlled trials (RCTs), including women aged 18–40 years with unexplained infertility, will be eligible. Interventions include letrozole, clomiphene citrate, gonadotropins, combination regimens and expectant management/ placebo, with or without IUI. The primary outcome will be live birth per woman randomised; if unavailable, ongoing or clinical pregnancy will be considered. Secondary outcomes include ovulation, multiple pregnancy, miscarriage, ovarian hyperstimulation syndrome, ectopic pregnancy, neonatal outcomes, time to pregnancy, adverse events and cycle cancellation rates. Databases (MEDLINE/PubMed, Embase, Cochrane Library, Scopus and Web of Science), trial registry (ClinicalTrials.gov), and grey literature (postgraduate theses, conference abstracts and dissertations) will be searched from inception to September 2025. Two reviewers will independently screen, extract data and assess risk of bias (RoB-2). Pairwise random-effects meta-analyses will precede a Bayesian and frequentist NMA (if sufficient network). If feasible, component NMA will be performed to estimate marginal effects of drug and procedural components. Certainty of evidence will be assessed using the CINeMA framework (GRADE for NMA). Publication bias will be assessed using funnel plots and Egger’s test, where feasible.

No ethics approval is required. Findings will be published in peer-reviewed journals, presented at conferences and made available through open-access repositories.

CRD420251145492. The review was registered prospectively; the review start date is 11 September 2025 and the anticipated end date is 3 March 2026.