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Analyzing the Impact of Holidays and Cyclic Factors on Emergency Surgical Volumes: A Regression-based Time Series Decomposition Approach

Analyzing the Impact of Holidays and Cyclic Factors on Emergency Surgical Volumes: A Regression-based Time Series Decomposition Approach

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500098060
Enrollment
Unknown
Registered
2025-03-03
Start date
2025-03-03
Completion date
Unknown
Last updated
2025-03-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None

Interventions

Observation group:None

Sponsors

Sichuan Provincial People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: All emergency surgeries performed at the Sichuan Provincial People's Hospital from January 2019 to June 2023.

Exclusion criteria

Exclusion criteria: 1: Incomplete basic information 2: Surgery cancelled

Design outcomes

Primary

MeasureTime frame
Trends in emergency surgery volume;—

Secondary

MeasureTime frame
Hypertension;Diabetes;Other underlying medical conditions;ICU admission;Postoperative complications;Whether or not to die;ASA grading;Hospitalization costs;—

Countries

China

Contacts

Public ContactZeng Si

Sichuan Provincial People's Hospital

63637936@qq.com+86 177 0813 0275

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026