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Record W4389426428 · doi:10.1093/bjsopen/zrad149

Minimally invasive <i>versus</i> open synchronous colorectal and hepatic resection for metastatic colorectal cancer: American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) analysis

2023· article· en· W4389426428 on OpenAlexaff
Matthew Lund, Laura Allen, Juan Glinka, Elizabeth Shin, Douglas Quan, Anton Skaro, Ephraim Tang

Bibliographic record

VenueBJS Open · 2023
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Treatments and Studies
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineColorectal cancerGeneral surgerySurgical resectionCancerOncologySurgeryInternal medicine

Abstract

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Colorectal cancer (CRC) is the fourth leading cause of deaths from cancer worldwide and is the third most common cancer in North America1–3. About 30% of patients with CRC will have metastasis to the liver and 15% of patients have synchronous liver metastases at the time of initial diagnosis4,5. Resection of liver metastases is the best method for improving long-term survival in patients with metastatic disease6–8. Traditionally, this was done sequentially, with resection of the primary tumour performed separately to the resection of liver metastases8,9. However, synchronous resection has now become popular, as improved surgical technique and close cooperation between colorectal and hepatopancreatobiliary surgeons have resulted in an increase in the safety of this approach8,10–12. Although data are limited, the synchronous approach has been found to be safe8,11. Beyond the clear advantages of a single surgery, wound morbidity is often higher with combined resections, as they require a full-length laparotomy incision for access to both the pelvis and upper abdomen. An attractive strategy that avoids this added morbidity is the application of minimally invasive surgery (MIS) and, although this approach has been reported, case counts remain low and data on safety are lacking13–17. The American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) gathers de-identified patient data from participating hospitals and contains more than 6.6 million cases from approximately 700 sites across North America. Previous work using this database has shown that synchronous resection is associated with increased major morbidity compared with staged resection18. However, no differentiation was made between open and minimally invasive synchronous resection. The aim of this study was to perform a propensity score matched analysis, leveraging the power of the large NSQIP procedure targeted database, to examine the difference between minimally invasive and open combined colorectal and hepatic resection. A retrospective cohort study comparing minimally invasive and open combined colorectal and liver resections was completed using prospectively collected data from the ACS NSQIP database. Participant user files (PUFs) and hepatectomy procedure targeted PUFs were obtained for the years 2014–2021. Data sets were combined using common patient IDs. Patients with current procedural terminology (CPT) codes for both hepatic and colorectal resections were identified. Patients undergoing emergency surgery were excluded, as were ASA grade V patients and patients who were dependent on a ventilator before surgery. Hepatectomies were classified as minor or major based on their CPT codes. Similarly, colorectal resections were categorized as right colectomy, left colectomy, or proctectomy. Please see the Supplementary material for a detailed explanation and full breakdown of the CPT codes used for categorization. Demographics and patient outcomes were compared using independent t tests, Mann–Whitney U tests, and chi-squared tests, as appropriate. The primary outcome was combined 30-day major morbidity, defined as the presence of one or more of the following complications: stroke, cardiac arrest, myocardial infarction, deep-vein thrombosis, pulmonary embolism, sepsis, prolonged ventilation, deep surgical site infection (SSI), organ space SSI, wound disruption, unplanned intubation, and unplanned reoperation. Secondary outcomes included 30-day mortality rate, duration of operation, duration of hospital stay, and rates of postoperative bile leak and liver failure. Propensity score matching was performed using complete cases based on a logistic regression model fitted using clinically important covariates (please see the Supplementary material). Each MIS patient was matched with two open surgery patients using nearest neighbour matching without replacement. Calipers were set to 0.2 times the standard deviation of the logit of the propensity score19. The quality of matching was assessed using standardized mean differences presented as a love plot, as well as mirrored histograms of the logit of the propensity score. Statistical significance was set at P < 0.050 for all analyses. Propensity score matching was completed using the R MatchIt package. All other analysis was completed using SPSS® (IBM, Armonk, NY, USA; version 26.0, released 2019). Finally, logistic regression was completed on the unmatched cohort to determine the independent odds of major morbidity in patients undergoing open versus minimally invasive resections, controlling for age, sex, ASA grade, type of colorectal resection, and extent of liver resection. Between 2014 and 2021, a total of 1561 patients undergoing totally open surgery and 187 patients undergoing totally MIS were identified. After 2 : 1 propensity score matching, 369 patients undergoing open surgery and 186 patients undergoing MIS were included. Demographic data and surgical characteristics are provided in Table 1. Before matching, patients in the open surgery group tended to have more co-morbidities and were more likely to have major hepatectomies. After matching, there was excellent overlap between the groups (Fig. 1). Propensity score matching a Love plot illustrating covariate balance before and after propensity score matching. After matching, there was reduced variability among many confounding factors between the minimally invasive and open populations. COPD, chronic obstructive pulmonary disease; CHF, congestive heart failure. b Mirrored histograms confirming improved distributional balance for propensity scores after matching. Patient demographics and surgical characteristics before and after matching Values are n unless otherwise indicated. MIS, minimally invasive surgery; COPD, chronic obstructive pulmonary disease; CHF, congestive heart failure; NA, not applicable. Patient demographics and surgical characteristics before and after matching Values are n unless otherwise indicated. MIS, minimally invasive surgery; COPD, chronic obstructive pulmonary disease; CHF, congestive heart failure; NA, not applicable. Major morbidity occurred in 20 patients in the MIS group (10.8%), compared with 91 patients (24.7%) in the open surgery group (P < 0.001) (See Table S1 for breakdown of major morbidity). The mortality rate was low in each group (1.1% in the MIS group (2 of 186 patients) versus 1.6% in the open surgery group (6 of 369 patients); P = 0.602). The median duration of hospital stay was shorter in the MIS group compared with the open surgery group (5 versus 7 days respectively; P < 0.001), whereas the median duration of operation was similar between the groups (318 min in the MIS group versus 305 min in the open surgery group; P = 0.084). There was no difference in postoperative bile leak or liver failure between the groups. Bile leak occurred in 5 patients (2.7%) in the MIS group and in 4 patients (1.1%) in the open surgery group (P = 0.189), whereas liver failure occurred in 6 patients (3.2%) in the MIS group and in 20 patients (5.4%) in the open surgery group (P = 0.248). On logistic regression, the open surgery approach was independently associated with a significantly increased rate of major postoperative morbidity (OR 2.70, 95% c.i. 1.67 to 4.38; P < 0.001) (Table S2). The present study used the large NSQIP database to show that the MIS approach to synchronous resection of CRC with liver metastasis is associated with a significant reduction in postoperative major morbidity compared with the open surgery approach. Despite the technical difficulty of MIS hepatectomies, there was no increase in postoperative bile leak or liver failure, as well as no difference in median duration of operation between the two groups. A major challenge in retrospective analyses comparing MIS and open surgery is inherent selection bias, with a tendency to perform open surgery for more challenging cases and to favour MIS approaches in patients with less extensive disease requiring smaller resections. The present study addressed this in two ways. First, the present study used logistic regression to show that the MIS approach is independently associated with reduced morbidity, while controlling for potential confounders (including extent of resection and ASA grade). Second, the present study sought to minimize demographic variability by performing a propensity score matched analysis. After adjusting for both demographic factors and extent of resection, a reduction in postoperative major morbidity was still strongly supported. These results support earlier single-centre studies demonstrating reduced major postoperative morbidity with minimally invasive resection compared with the open surgery approach10,15. The present study is limited by its retrospective nature and by the small number of patients undergoing MIS. Although this is a low-volume operation, a greater number of such patients were expected to be identified; some were likely missed due to their inclusion in colectomy procedure targeted PUFs rather than hepatectomy procedure targeted PUFs. No data could be incorporated from the colectomy procedure targeted PUFs, as they contain no information on whether the concurrent hepatic resections were performed using an open surgery approach or an MIS approach. It is unclear how many cases could not be accessed because of this. The authors have no funding to declare. Matthew C. Lund (Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Writing—original draft, Writing—review & editing), Laura J. Allen (Formal analysis, Methodology, Visualization, Writing—original draft), Juan G. Glinka (Conceptualization, Methodology, Writing—review & editing), Elizabeth M. Shin (Conceptualization, Methodology, Writing—review & editing), Douglas Quan (Conceptualization, Methodology, Writing—review & editing), Anton I. Skaro (Conceptualization, Methodology, Writing—review & editing), and Ephraim S. Tang (Conceptualization, Methodology, Project administration, Supervision, Writing—review & editing) The authors declare no conflict of interest. Supplementary material is available at BJS Open online. Data used in this study are available via the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP). American College of Surgeons National Surgical Quality Improvement Program and the hospitals participating in the ACS NSQIP are the source of the data used herein; they have not verified and are not responsible for the statistical validity of the data analysis or the conclusions derived by the authors.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.010
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.408
Teacher spread0.349 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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