ArticleLangenbeck's archives of surgery2017
Increased perirenal fat area is not associated with adverse outcomes after laparoscopic total mesorectal excision for rectal cancer.
Article in Langenbeck's archives of surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- The effect of excess body weight on short-term outcomes following minimally invasive rectal cancer surgery: a systematic review and meta-analysis.Techniques in coloproctology · 2026Pooled it
- Perirenal adipose tissue imaging characteristics as predictors of systemic inflammatory response syndrome following percutaneous nephrolithotomy.World journal of urology · 2026Article
- Perirenal fat area is a preoperative predictor of hypertension resolution after laparoscopic sleeve gastrectomy: Generalized additive models.World journal of gastroenterology · 2025Article
- Interpretable machine learning model to predict surgical difficulty in laparoscopic resection for rectal cancer.Frontiers in oncology · 2024Review
- Does the visceral fat area impact the histopathology specimen metrics after total mesorectal excision for distal rectal cancer?Langenbeck's archives of surgery · 2023Article
- Advances in pelvic imaging parameters predicting surgical difficulty in rectal cancer.World journal of surgical oncology · 2023Review
- Clinical application of laparoscopic total mesorectal excision using the intersphincteric approach through the sacrococcygeal incision for treating patients with rectal cancer.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2019Article
- Perirenal Adipose Tissue: Clinical Implication and Therapeutic Interventions.Indian journal of nephrologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIntraabdominal visceral obesity may increase technical challenges during laparoscopic rectal resection and hypothetically therefore increase the risk of perioperative complications. The aim of this study was to analyze intraabdominal obesity by means of perirenal fat against risk of adverse outcomes in patients undergoing laparoscopic rectal cancer surgery.
methodsThis study was a single-institution retrospective analysis of consecutive patients undergoing laparoscopic total mesorectal surgery for rectal cancer between January 2009 and January 2013. Abdominal CT scans with intravenous contrast were assessed in a blinded manner to estimate the perirenal fat area (cm
resultA total of 195 patients were included (median age 70 years (range 27-87), 58 women and 137 men) for analysis. There was a moderate correlation between BMI and perirenal fat area (r = 0.499, p = 0.001). Perirenal fat area was not associated with any of the measured adverse outcomes. Patients with BMI ≥ 30 had significantly higher intraoperative blood loss (191 mL, p = 0.001).
conclusionPerirenal fat area was not an important predictor of adverse outcomes in patients undergoing laparoscopic rectal cancer surgery.
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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.