Evidence map›Paper›PMID 40893907›Full record

ArticleFrontiers in medicine2025

Global, regional, and national burdens of endometriosis from 1990 to 2021: a trend analysis.

Hailan Yan, Xiaoyan Li, Yi Dai, Jinghua Shi, Yushi Wu, Zhiyue Gu, Chenyu Zhang, Qiutong Li, Biyun Zhang, Shiqing Lyu and 1 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Hailan YanDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xiaoyan LiDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yi DaiDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jinghua ShiDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yushi WuDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Zhiyue GuDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Chenyu ZhangDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Qiutong LiDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Biyun ZhangDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Shiqing LyuDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jinhua LengDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Endometriosis is a common, chronic, estrogen-dependent gynecological disorder that significantly affects patients' quality of life. However, the disease burden and its trends may be undergoing significant changes, and comprehensive data on this issue are currently lacking. This study aimed to examine trends in the burden of endometriosis at the global, national, and regional levels. Methods: We collected detailed data on incidence numbers, disability-adjusted life years (DALYs), age-standardized incidence rate (ASIR), and age-standardized DALY rate (ASDR) for the period 1990-2021 from the GBD 2021 database. We calculated the estimated annual percentage changes (EAPCs) to quantify the temporal trends in the ASIR and ASDR of endometriosis and presented the global distribution of these trends. Results: The global incident cases of endometriosis were 3.45 million (95% uncertainty interval [UI] = 2.44 to 4.6), and DALYs were 2.05 million (95% UI = 1.20 to 3.13). The global ASIR decreased from 1990 to 2021 (EAPC = -1.01, 95% UI = -1.06 to -0.96), while the ASDR was similar (EAPC = -0.99, 95% UI = -1.04 to -0.95). The age groups with the highest global incidence and DALYs were 20-24 and 25-29 years. The highest 2021 ASIR and ASDR were both in Niger (77.33 per 100,000 individuals, 95% UI = 52.74 to 106.78; 61.45 per 100,000 individuals, 95% UI = 34.29 to 95.47) and in Oceania (77.71 per 100,000 individuals, 95% UI = 51.23 to 100.27; 45.24 per 100,000 individuals, 95% UI = 45.24 to 71.95). In 2021, the ASIR and ASDR were highest in the low sociodemographic index (SDI) region. We also found that the EAPC was negatively correlated with ASIR in 1990 ( Conclusion: The global burden of endometriosis remains substantial and has continued to rise across most countries, territories, and regions since the 1990s, underscoring the urgent need for targeted public health strategies and advancements in diagnosis and treatment to address this pervasive condition.

Indexed as

DALYsdisease burdenendometriosisGBD 2021incidence

Identifiers

PMID40893907
PMCPMC12391101

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.