Evidence map›Paper›PMID 39227440›Full record

ArticleSurgical endoscopy2024

An evidence-based model for predicting conversion to open surgery in minimally invasive distal pancreatectomy.

Cong Chen, Xianchao Lin, Ronggui Lin, Yuanyuan Yang, Congfei Wang, Haizong Fang, Heguang Huang, Fengchun Lu

Erratum issuedAbstract read
In one paragraph

Article in Surgical endoscopy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Cong ChenDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, China.
Xianchao LinDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, China.
Ronggui LinDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, China.
Yuanyuan YangDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, China.
Congfei WangDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, China.
Haizong FangDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, China.
Heguang HuangDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, China. heguanghuang222@163.com.
Fengchun LuDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, China. fengchunlu5@163.com.

Funding

National Natural Science Foundation of China 82073139Natural Science Foundation of Fujian Province 2020J02054the Joint Funds for the Innovation of Science and Technology, Fujian Province 2021Y9058
6 · The paper itself

Abstract

backgroundIntraoperative conversion to open surgery is an adverse event during minimally invasive distal pancreatectomy (MIDP), associated with poor postoperative outcomes. The aim of this study was to develop a model capable of predicting conversion in patients undergoing MIDP.

methodsA total of 352 patients who underwent MIPD were included in this retrospective analysis and randomly assigned to training and validation cohorts. Potential risk factors related to open conversion were identified through a literature review, and data on these factors in our cohort was collected accordingly. In the training cohort, multivariate logistic regression analysis was performed to adjust the impact of confounding factors to identify independent risk factors for model building. The constructed model was evaluated using the receiver operating characteristics curve, decision curve analysis (DCA), and calibration curves.

resultsFollowing an extensive literature review, a total of ten preoperative risk factors were identified, including sex, BMI, albumin, smoker, size of lesion, tumor close to major vessels, type of pancreatic resection, surgical approach, MIDP experience, and suspicion of malignancy. Multivariate analysis revealed that sex, tumor close to major vessels, suspicion of malignancy, type of pancreatic resection (subtotal pancreatectomy or left pancreatectomy), and MIDP experience persisted as significant predictors for conversion to open surgery during MIDP. The constructed model offered superior discrimination ability compared to the existing model (area under the curve, training cohort: 0.921 vs. 0.757, P < 0.001; validation cohort: 0.834 vs. 0.716, P = 0.018). The DCA and the calibration curves revealed the clinical usefulness of the nomogram and a good consistency between the predicted and observed values.

conclusionThe evidence-based prediction model developed in this study outperformed the previous model in predicting conversions of MIDP. This model could contribute to decision-making processes surrounding the selection of surgical approaches and facilitate patient counseling on the conversion risk of MIDP.

Indexed as

Conversion to Open SurgeryPancreatectomyAdultAgedEvidence-Based MedicineFemaleHumansMaleMiddle AgedPancreatic NeoplasmsRetrospective StudiesRisk FactorsConversion to open surgeryMinimally invasive distal pancreatectomyPostoperative outcomePrediction model

Identifiers

PMID39227440
PMCPMC11525282

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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.