Robotic cholecystectomy: the gain is in difficult, heavier patients

Design

Retrospective multihospital cohort with risk-adjusted modelling

Population

1,828 adults having robotic or laparoscopic cholecystectomy, 8 US hospitals

Primary outcome

Conversion or Clavien-Dindo grade 3 or worse complication; cost

Effect

3.3% vs 8.7% adverse outcomes; about $2,200-2,400 higher robotic cost

This retrospective study covered 1,828 minimally invasive cholecystectomies at eight hospitals in one US health system, 2020 to 2021, by surgeons who routinely did both robotic and laparoscopic cases. Difficulty was graded by the Nassar preoperative score.

Robotic cases had fewer adverse outcomes, defined as conversion or a Clavien-Dindo grade 3 or worse complication (3.3% vs 8.7%), and shorter stays. The difference depended on difficulty and weight: in high-risk gallbladders with a BMI of 30, laparoscopy was associated with about 3.7 times the odds of an adverse outcome; in lower-risk cases, outcomes were similar unless BMI was around 35. Robotic surgery cost about $2,200 to $2,400 more per encounter in every group. The authors built a risk calculator with moderate discrimination (AUC 0.75).

The useful message is selection, not a switch. For most straightforward gallbladders, laparoscopy remains as good and cheaper. Where robotic access is limited, as in most Indian hospitals, it is best reserved for the difficult, obese patient. These are observational data from one system and need prospective confirmation.

• Score difficulty before surgery with a tool such as the Nassar scale and record it.
• Consider robotic access, where available, for high-difficulty gallbladders in patients with obesity.
• Keep straightforward cholecystectomy laparoscopic; outcomes were similar and cost lower.
• Discuss cost openly with self-paying patients before choosing a robotic route.

Why it matters

It replaces 'robot or not' with a question about which patient, which is where the cost is justified.

Don't overread it

This was a retrospective study in one health system; the choice of approach was not randomised.

The statistics, in plain English

An odds ratio of 3.69 (2.04 to 6.69) in the high-risk group is large, but it comes from a model with interaction terms, which is less stable than a simple comparison. An AUC of 0.75 means the calculator ranks risk correctly about three times in four.

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