Exploring pre-diagnosis hospital contacts in women with endometriosis using ICD-10: a Danish case–control study

Authors

Institutions

Publication Details

Journal
Human Reproduction
Published
2024-12-20
DOI
https://doi.org/10.1093/humrep/deae273
Citations
4
Primary Topic
Endometriosis Research and Treatment
Type
article
Field-Weighted Citation Impact
2.15

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring pre-diagnosis hospital contacts in women with endometriosis using ICD-10: a Danish case–control study

Lucky Saraswat, Claus Høstrup Vestergaard, Mintu Nath, Dorte Rytter et al.
4 citations
Human Reproduction
Endometriosis Research and Treatment
2.15
article

Exploring pre-diagnosis hospital contacts in women with endometriosis using ICD-10: a Danish case–control study

Lucky Saraswat, Claus Høstrup Vestergaard, Mintu Nath, Dorte Rytter, Philippa T. K. Saunders, Ulrik Schiøler Kesmodel, Krina T. Zondervan, Bettina Wulff Risør, Anna Melgaard, Andrew W. Horne, Dolapo Ayansina, Axel Forman
article en
4 citations

Abstract

No abstract available for this paper.
Human ReproductionVol. 40(2)
University of Aberdeen (GB), Aarhus University (DK), Aalborg University Hospital (DK), Aarhus University Hospital (DK), John Radcliffe Hospital (GB), University of Oxford (GB), Endometriosis UK (GB), Central Denmark Region (DK), MRC Centre for Reproductive Health (GB), Aalborg University (DK), University of Edinburgh (GB)
National Institute for Health and Care Research, Wellbeing of Women, European Commission, Gedeon Richter, Helsefonden
Good health and well-being
Openalex Percentile: Top 12%
Endometriosis Research and Treatment
2.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.