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©The Author(s) 2025.
World J Gastrointest Surg. Dec 27, 2025; 17(12): 113586
Published online Dec 27, 2025. doi: 10.4240/wjgs.v17.i12.113586
Published online Dec 27, 2025. doi: 10.4240/wjgs.v17.i12.113586
Table 1 Difference in post operative outcomes between minimally invasive and open esophagectomy
| Ref. | Sample size | Blood loss (mL) | Operative time (minutes) | Length of stay (days) | Respiratory morbidity | Anastomotic leak rate | In-hospital mortality | Lymph node retrieval | 3-year overall survival |
| Smithers et al[61] | 446 | Lower in MIE (300 vs 600), P = 0.017 | Shorter in OE (330 vs 300), P = 0.01 | Shorter in MIE (11 vs 14), P = 0.03 | NSD | NSD | NSD | NSD | NSD |
| Nagpal et al[62] | 1284 | Lower in MIE, P < 0.001 | Shorter in OE, P < 0.001 | Shorter in MIE, P = 0.004 | Lower in MIE, P = 0.04 | Lower in MIE, P = 0.02 | NSD | NSD | NR |
| Yibulayin et al[6] | 15790 | Lower in MIE, P = 0.05 | Shorter in OE, P < 0.05 | Shorter in MIE, P < 0.05 | Lower in MIE, P < 0.05 | NSD | Lower in MIE, P < 0.05 | NS | NR |
| Sihag et al[63] | 3780 | NR | Shorter in OE (443 vs 312), P < 0.001 | Shorter in MIE (9 vs 10), P < 0.001 | NSD | NSD | NS | NR | NR |
| Xiong et al[64] | 488 | Lower in MIE, P = 0.001 | Shorter in MIE, P < 0.001 | Shorter in MIE, P < 0.001 | Lower in MIE, P < 0.001 | NSD | NSD | NSD | NR |
| Yoshida et al[65] | 24233 | Lower in MIE, P < 0.001 | Shorter in MIE, P < 0.001 | NR | Lower in MIE (16% vs 18%), P = 0.001 | NSD | Lower in MIE (1.7 vs 2.4), P < 0.001 | NR | NR |
| Akhtar et al[66] | 13269 | Lower in MIE, P < 0.001 | Shorter in MIE, P < 0.001 | Shorter in MIE, P < 0.001 | Lower in MIE, P < 0.001 | NR | NR | NR | NR |
| Ofuchi et al[67] | 459 | NR | NR | NR | Lower with MIE (28% vs 40%) | NR | NSD | NSD | NSD |
| Randomized control trials | |||||||||
| Biere et al[5] | 115 | Lower in MIE (200 vs 475), P < 0.001 | Shorter in OE (329 vs 299), P = 0.002 | Shorter in MIE (11 vs 14), P = 0.044 | Lower in MIE (12% vs 34%), P = 0.005 | NSD | NSD | NSD | NR |
| Mariette et al[15] | 207 | NR | NSD | NSD (14 days vs 14 days) | Lower with MIE (18% vs 30%) | More in MIE (11% vs 7%) | NSD | NSD | NSD |
| van der Sluis et al[16] | 112 | Lower with MIE (120 mL vs 200 mL) | Longer in RAMIE (60-70 minutes more) | NSD (14 days vs 16 days) | Lower with MIE (32% vs 58%) | NSD (22% vs 20%) | NSD | NSD (27 vs 25) | NSD |
| ROMIO study group[68] | 533 | NR | NR | NSD (10 days vs 11 days) | NSD | NSD (8% vs 8%) | NSD | NR | NR |
Table 2 List of complications post minimally invasive esophagectomy
| Timing | Category | Complications |
| Intraoperative | Bleeding | |
| Anesthesia related complications | ||
| Adjacent visceral injury | ||
| Post-operative | Medical | Pulmonary morbidity |
| Atelectasis | ||
| Aspiration | ||
| Bronchopneumonia | ||
| Respiratory failure | ||
| ARDS cardiac morbidity | ||
| Cardiac arrest | ||
| MI | ||
| Angina | ||
| Thromboembolism | ||
| Arrhythmias | ||
| Major surgical immediate | Anastomotic leak | |
| Conduit necrosis | ||
| Chyle leak | ||
| Recurrent laryngeal nerve palsy | ||
| Surgical long term | Anastomotic stricture | |
| Delayed gastric emptying | ||
| Gastro-esophageal reflux | ||
| Malabsorption and nutritional deficiencies | ||
Table 3 Published series reporting the incidence of major complications associated with minimally invasive esophagectomy
| Ref. | Technique | n (cases) | Pulmonary complication (%) | Cardiac arrhythmia (%) | Anastomotic leak (%) | Conduit necrosis (%) | Chylothorax (%) | RLNP (%) |
| Xie et al[69] | IL | 106 | 4.7 | 2.8 | 4.7 | 3.8 | 3.8 | - |
| Sihag et al[63] | IL | 600 | 12.8 | - | 13.8 | - | - | 4.3 |
| van Workum et al[70] | IL | 561 | 27.8 | 17.1 | 14.4 | - | 8.7 | 0.5 |
| Naffouje et al[71] | IL | 161 | 11.8 | - | 13 | - | - | - |
| Lorimer et al[72] | IL | 200 | 17 | 23 | 8.5 | - | - | - |
| van der Sluis et al[73] | RM | 108 | 33.3 | 8.3 | 18.5 | - | 17.6 | 9.3 |
| Park et al[23] | RM | 140 | 8.8 | - | 9.3 | 0 | - | 25 |
| van der Sluis et al[16] | RM | 54 | 27.8 | 22.2 | 24.1 | - | 31.5 | 9.3 |
| Zhang et al[74] | RIL | 76 | 6.6 | - | 9.2 | 1.3 | 1.9 | 6.6 |
| Meredith et al[75] | RIL | 147 | 6.8 | 11.6 | 2.7 | - | - | 3.4 |
| Wang et al[76] | TME | 194 | 6.2 | 3.6 | 4.6 | - | - | 4.6 |
| Fujiwara et al[77] | TME | 60 | 6.7 | - | 15 | - | 0 | 33.3 |
| Kinjo et al[78] | M | 106 | 16 | 9.4 | 10.4 | 0.9 | - | 19.8 |
| Chen et al[79] | M | 142 | 9.2 | 2.8 | 6.3 | 0.7 | 2.8 | 5.6 |
| Li et al[80] | M | 89 | 7.9 | 7.9 | 21.3 | 1.1 | - | 20.2 |
| Tanaka et al[81] | M | 59 | 13.6 | 11.9 | 6.8 | 0 | - | 22 |
| Seesing et al[18] | M | 121 | 36.4 | 19.8 | 26.4 | 33.9 | - | 7.4 |
| Koterazawa et al[82] | M | 162 | 14.8 | - | 17.9 | - | - | 19.8 |
| van Workum et al[70] | M | 226 | 24.8 | 26.1 | 26.5 | - | 13.3 | 9 |
Table 4 Risk factors found associated with morbidity in minimally invasive esophagectomy
| Category | Risk factor | Association with higher morbidity |
| Patient related | Age | > 65 years[83] |
| Gender | Male gender associated with more pulmonary and overall morbidity[48] | |
| Body habitus and BMI | Underweight/sarcopenic or morbid obesity[84] | |
| Performance status | ASA and ECOG score more than 1 | |
| Nutritional status | Malnutrition (low albumin, hemoglobin level), weight loss, sarcopenia[48,84] | |
| Addictions | Smoking has higher risk[85-87] | |
| Pre-existing co-morbidities | Diabetes, COPD, cardiac disease and higher Charlson index[83,88] | |
| Disease related | Tumor size | Tumour size > 4 cm[4] |
| Tumor stage | T3 and higher tumours[4] | |
| Tumor location | Cervical and upper thoracic tumours[4] | |
| Treatment related | Neo-adjuvant CRT | Standard of care but mixed evidence regarding slightly higher morbidity with CRT[89] |
| Surgical approach (MIE/hybrid/open) | Open approach[5,15,16] | |
| Patient position (prone/semi-prone) | Semi-prone is associated with inferior outcomes in terms of pulmonary morbidity[17,81] | |
| Lymphadenectomy (standard or total two field/three field) | Three field and total two field have higher morbidity rates[82] | |
| Conduit type | Non gastric > gastric conduit[90] | |
| Anastomotic level | Cervical > intrathoracic anastomosis[91] | |
| Anastomotic technique | Overall similar for stapled and hand sewn technique. Semi-mechanical has better reported outcomes |
Table 5 List of risk predictive nomograms developed for prediction of post esophagectomy morbidity
| Ref. | Study size and period | Procedure | Morbidity predicted using nomogram | Risk factors influencing morbidity | Statistical significance |
| Yu et al[92], 2021 | 604 (2018-2020) | Open esophagectomy (53%) + MIE (47%) | Anastomotic leak | Smoking index, ASA score, anastomosis level (chest/neck, anastomotic technique, prognostic nutrition index | AUC = 0.766 |
| Tong et al[93], 2022 | 969 (NS) | MIE | Pulmonary complications | Age, high BMI, smoking, FEV1/FVC, chemoradiotherapy, blood loss, general anesthesia, operative time, conversion to thoracotomy | C index = 0.654 |
| Jin et al[94], 2022 | 609 (2015-2019) | MIE | Post operative pneumonia | Age, gender, abdominal phase approach, thoracic operative time, duration of chest tube placement, anastomotic leakage, RLN palsy | C index = 0.77 |
| AUC = 0.66 | |||||
| Su et al[95], 2023 | 308 (2018-2022) | MIE | Anastomotic leak | Age, post operative delirium, pleural adhesions, post operative pulmonary complication, raised TLC, low lymphocyte | C index = 0.96 |
| AUC = 0.96 | |||||
| Chen et al[9], 2022 | 285 (NS) | MIE (McKeowns esophagectomy) | Anastomotic leak | Aortic calcification, preexisting heart disease, obesity, low FEV1 | C index = 0.67 |
| Xi et al[96], 2020 | 119 (2019-2020) | Open esophagectomy (15%) + MIE (85%) | Post operative morbidity | BMI, ASA score, diabetes, eSAS (blood loss, lowest MAP, lowest HR) | C index = 0.903 (internal validation) 0.967 (external validation) |
| Zhong et al[50], 2025 | 747 (2019-2024) | MIE | Serious adverse events | Age, alcohol consumption, COPD, neoadjuvant radiotherapy, tumour size, FEV1, calcium, hemoglobin, albumin | AUC = 0.793 |
Table 6 Currently available risk prediction models developed using artificial intelligence and machine learning for predicting esophagectomy related complications
| Ref. | Study size | Study design | Objective | Results |
| Bolourani et al[97], 2021 | 2037 | Retrospective | ML-based prediction model for early readmissions within 30 days following esophagectomy | ML model for clinical decision AUC: 0.72 |
| ML model for quality review of esophagectomy AUC: 0.74 | ||||
| van Kooten et al[98], 2022 | 4288 | Retrospective | ML methods for predicting postoperative complications following esophagectomy and development of a predictive model for anastomotic leakage and cardiopulmonary complications | The AUC of 0.619 for anastomotic leakage and 0.644 for pulmonary complications |
| Jung et al[99], 2023 | 604 | Retrospective | ML-based methods for predicting Clavien–Dindo grade IIIa or greater complications following esophagectomy | The AUC of neural network was 0.672 for overall Clavien-Dindo grade IIIa or higher morbidity, 0.695 for medical complications, and 0.653 for surgical complications |
| Klontzas et al[55], 2024 | 471 | Retrospective | ML model combining CT and clinical variables for predicting anastomotic leakage following esophagectomy | The model achieved an AUC of 0.792 |
Table 7 A hypothetical nomogram model for prediction of post minimally invasive esophagectomy complications proposed by the authors (needs predictive performance validation)
| Risk factor | Criteria | Score |
| Age | < 65 years | 0 |
| > 65 years | 1 | |
| Gender | Female | 0 |
| Male | 1 | |
| ASA score | ≤ Grade 2 | 0 |
| > Grade 2 | 1 | |
| ECOG status | ≤ 1 | 0 |
| 1-2 | 1 | |
| > 2 | 3 | |
| Diabetes or cardiac co-morbidities | No | 0 |
| Yes | 1 | |
| BMI | 18.5-25 | 0 |
| > 25 | 1 | |
| Smoking/tobacco use | No | 0 |
| Yes | 1 | |
| Hemoglobin levels | > 8 g/dL | 0 |
| < 8 g/dL | 1 | |
| Serum albumin | > 3.5 | 0 |
| < 3.5 | 1 | |
| Tumour size | < 4 cm | 0 |
| > 4 cm | 1 | |
| Tumour location | Middle or lower thoracic esophagus | 0 |
| Cervical or upper thoracic esophagus | 1 | |
| Tumour T stage | ≤ 2 | 0 |
| > 2 | 1 | |
| Neoadjuvant chemoradiotherapy | No | 0 |
| Yes | 1 | |
| Surgical approach | Minimally invasive | 0 |
| Open | 1 | |
| Lymphadenectomy type | Standard or extended 2 field | 0 |
| Total 2 field/3 field | 1 | |
| Conduit type | Gastric | 0 |
| Non-gastric | 1 | |
| Anastomosis level | Intrathoracic | 0 |
| Cervical | 1 |
- Citation: Parikh KS, Kumar A. Nomographic predictive models for complications after minimally invasive esophagectomy: Current status and future perspectives. World J Gastrointest Surg 2025; 17(12): 113586
- URL: https://www.wjgnet.com/1948-9366/full/v17/i12/113586.htm
- DOI: https://dx.doi.org/10.4240/wjgs.v17.i12.113586
