{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T18:19:27Z","timestamp":1783448367858,"version":"3.55.0"},"reference-count":24,"publisher":"Bioscientifica","issue":"1","license":[{"start":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T00:00:00Z","timestamp":1781481600000},"content-version":"vor","delay-in-days":178,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["journals.bioscientifica.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,1,1]]},"abstract":"<jats:sec>\n                    <jats:title>Abstract<\/jats:title>\n                    <jats:p>Low oocyte retrieval (LOR), defined as oocytes retrieved from &amp;lt;50% of mature follicles, significantly impacts IVF success, especially in patients with diminished ovarian reserve (DOR). Predictive models tailored for this population are limited. This retrospective cohort study developed a predictive nomogram for LOR risk in first-cycle IVF\/ICSI patients with DOR. The data from 2,594 eligible patients were analyzed. LOR was defined as oocyte retrieval rate &amp;lt;50% (oocytes\/follicles \u226514 mm on trigger day). Least absolute shrinkage and selection operator (LASSO) regression identified predictors from clinical\/endocrine parameters. A multivariate logistic model was built, visualized as a nomogram, and internally validated (bootstrap resampling). Performance was assessed via AUC, calibration, and decision curve analysis. Eight independent predictors were identified: age, basal FSH, AFC, AMH, LH on hCG day, progesterone (P) on hCG day, number of large follicles (\u226514 mm) on hCG day, and trigger-to-retrieval time (TR-OPU). The model demonstrated moderate yet acceptable discrimination (AUC = 0.721, 95% CI: 0.678\u20130.772) and calibration. TR-OPU was significantly shorter in the LOR group (34.85 vs 35.05 h, P &amp;lt; 0.001). DCA confirmed clinical utility. This study establishes a clinical-endocrine nomogram predicting LOR risk in first-cycle DOR patients. Incorporating key factors, such as TR-OPU, ovarian reserve markers (AMH, AFC, and bFSH), and trigger-day hormones, it may help stratify risk but requires external validation before clinical application.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Lay summary<\/jats:title>\n                    <jats:p>Women with naturally lower egg reserves often face extra challenges with IVF. A common problem is retrieving fewer eggs than expected during the procedure (\u2018low oocyte retrieval\u2019 or LOR), which significantly lowers the chance of pregnancy. Doctors lack good tools to predict who is most at risk. Our study analyzed data from 2,594 women with low egg reserves undergoing their first IVF cycle. We created a simple prediction chart that combines key information easily available to doctors: the woman\u2019s age, standard hormone blood tests (AMH and FSH), an ultrasound count of egg sacs (follicles), hormone levels on the day of the final IVF trigger shot, and critically \u2013 the exact number of hours between the trigger and the egg collection surgery. This chart accurately estimates an individual woman\u2019s risk of LOR. Knowing this risk beforehand helps doctors personalize treatment timing and medication, aiming to collect more eggs and improve the chances of a successful pregnancy, while helping patients avoid unnecessary emotional and financial strain.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1530\/raf-25-0120","type":"journal-article","created":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T14:59:46Z","timestamp":1768316386000},"update-policy":"https:\/\/doi.org\/10.1530\/crossmarkpolicy-13","source":"Crossref","is-referenced-by-count":0,"title":["Development of a risk model for low oocyte retrieval in first-cycle IVF patients with diminished ovarian reserve: a retrospective single-center study"],"prefix":"10.1530","volume":"7","author":[{"given":"Jin","family":"Lu","sequence":"first","affiliation":[{"name":"1"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenyue","family":"Dong","sequence":"additional","affiliation":[{"name":"2"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lu","family":"Wang","sequence":"additional","affiliation":[{"name":"1"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peizhe","family":"Tian","sequence":"additional","affiliation":[{"name":"2"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cuilian","family":"Zhang","sequence":"additional","affiliation":[{"name":"1"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-8903-5370","authenticated-orcid":true,"given":"Xue","family":"Wang","sequence":"additional","affiliation":[{"name":"1"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"416","published-online":{"date-parts":[[2025,12,19]]},"reference":[{"key":"2026070714092627300_bib1","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.cyto.2018.07.016","article-title":"IL-5 in follicular fluid as a negative predictor of the intracytoplasmic sperm injection outcome","volume":"113","author":"Alhilali","year":"2019","journal-title":"Cytokine"},{"key":"2026070714092627300_bib3","doi-asserted-by":"crossref","first-page":"1270","DOI":"10.1093\/humrep\/der037","article-title":"The Istanbul consensus workshop on embryo assessment: proceedings of an expert meeting","volume":"26","author":"Alpha Scientists in Reproductive Medicine and ESHRE Special Interest Group of Embryology","year":"2011","journal-title":"Hum Reprod"},{"key":"2026070714092627300_bib2","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1093\/biolre\/ioab241","article-title":"Age-associated changes in cumulus cells and follicular fluid: the local oocyte microenvironment as a determinant of gamete quality","volume":"106","author":"Babayev","year":"2022","journal-title":"Biol Reprod"},{"key":"2026070714092627300_bib4","doi-asserted-by":"crossref","first-page":"1459","DOI":"10.1007\/s10815-015-0571-6","article-title":"Optimum oocyte retrieved and transfer strategy in young women with normal ovarian reserve undergoing a long treatment protocol: a retrospective cohort study","volume":"32","author":"Chen","year":"2015","journal-title":"J Assist Reprod Genet"},{"key":"2026070714092627300_bib6","doi-asserted-by":"crossref","first-page":"1006","DOI":"10.1080\/01443615.2019.1679735","article-title":"A moderately extended time interval between hCG administration and oocyte retrieval is good for most patients with oocyte retrieval scheduled on the same day: a retrospective cohort study","volume":"40","author":"Deng","year":"2020","journal-title":"J Obstet Gynaecol"},{"key":"2026070714092627300_bib5","first-page":"2010","article-title":"Cumulative live birth rates and number of oocytes retrieved in women of advanced age. 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