ArticleAnnals of gastroenterological surgery2025
Impacts of COVID-19 pandemic on short-term outcomes of low anterior resection performed in hospitals with different surgical volumes.
Article in Annals of gastroenterological surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Surgical Volume and Short-Term Outcomes After Advanced Hepatectomy in the Postpandemic Era: Analysis of the Japanese National Clinical Database (2018-2023).Annals of gastroenterological surgery · 2025Article
- Nationwide Trends in Short-Term Outcomes After Low Anterior Resection for Rectal Cancer: A Pre- and Post-COVID-19 Analysis From the Japanese National Clinical Database, 2018-2023.Annals of gastroenterological surgery · 2025Article
- Impacts of COVID-19 pandemic on short-term outcomes of low anterior resection performed in hospitals with different surgical volumes.Annals of gastroenterological surgery · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: To evaluate the impact of the coronavirus disease (COVID-19) pandemic on short-term outcomes of low anterior resection (LAR) across hospitals classified by surgical volume. Methods: Data of patients who underwent elective LAR for rectal cancer between 2018 and 2022 were obtained from the National Clinical Database of Japan. Hospitals were categorized into high-, medium-, and low-volume groups. Each group was constituted to represent approximately one-third of all surgeries performed between 2018 and 2019. The standardized morbidity/mortality ratios (SMRs) of Clavien-Dindo grade ≥3 (CD ≥ 3) complications were the primary endpoint. The secondary endpoints included anastomotic leakage, pneumonia, and surgical mortality. Results: This study analyzed 91 800 cases of elective LAR, with 10.5% experiencing CD ≥ 3 complications, 8.8% anastomotic leakage, 0.9% pneumonia, and 0.5% surgical mortality. Despite COVID-19, SMRs of CD ≥ 3 complications decreased from 2018 to 2022 across all groups. However, increases in the rates and SMRs of CD ≥ 3 complications were observed in low-volume hospitals around mid-2020, followed by a decline. Anastomotic leakage showed similar trends. The rates and SMRs of pneumonia and surgical mortality remained unchanged. Notably, anastomotic leakage rates were 7.6%, 8.9%, and 10.0% in high-, medium-, and low-volume hospitals, respectively, indicating superior outcomes in high-volume hospitals. Conclusion: Early COVID-19 waves may have disproportionately affected low-volume hospitals. However, the decline in SMRs of CD ≥ 3 complications from 2018 to 2022 across all three groups suggests the robustness and resilience of surgical services for rectal cancer in Japan. The potential disparity in short-term outcomes among hospitals is a new concern.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.