Evidence map›Paper›PMID 40991044›Full record

ArticleSurgical endoscopy2025

External validation of Tampa Difficulty Scoring System for robotic liver resection using Americas Minimally Invasive Liver Surgery Registry (AMILES).

Hasan Al Harakeh, Sharona B Ross, Kristina Milivojev Covilo, Melanie Mendez, Edwin Onkendi, Mihir Shah, Parit T Mavani, Patricio Polanco, John Martinie, David Iannitti and 16 more

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Advanced robotic liver surgery.Surgical endoscopy · 2026
    Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Hasan Al HarakehAdventHealth Tampa, Florida, USA.ORCID http://orcid.org/0000-0001-6182-2655
Sharona B RossAdventHealth Tampa, Florida, USA.
Kristina Milivojev CoviloAdventHealth Tampa, Florida, USA.ORCID http://orcid.org/0009-0006-6902-7625
Melanie MendezAdventHealth Tampa, Florida, USA.
Edwin OnkendiTexas Tech University, Lubbock, TX, USA.
Mihir ShahEmory University, Atlanta, Georgia, USA.
Parit T MavaniEmory University, Atlanta, Georgia, USA.
Patricio PolancoUniversity of Texas Southwestern, Dallas, TX, USA.
John MartinieAtrium Health, Charlotte, NC, USA.
David IannittiAtrium Health, Charlotte, NC, USA.
Melissa HoggNorthshore University Health System, Evanston, IL, USA.
Sarah HaysNorthshore University Health System, Evanston, IL, USA.
Syed Abbas MehdiNorthshore University Health System, Evanston, IL, USA.
Scott HeltonVirginia Mason, Seattle, WA, USA.
David GellerUniversity of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Kerri SimoPromedica Physician Group, Toledo, OH, USA.
Kevin El-HayekMetroHealth, Cleveland, OH, USA.
Susanne WarnerMayo Clinic, Rochester, MN, USA.
Hallbera GudmundsdottirMayo Clinic, Rochester, MN, USA.
Sean ClearyUniversity of Toronto, Toronto, Canada.
Adnan AlseidiUniversity of California, San Fransisco, CA, USA.
Samer TohmeUniversity of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Samy CastilloUniversity of Texas Southwestern, Dallas, TX, USA.
Garnet VanterpoolAdventHealth Tampa, Florida, USA.
Giuseppe EspositoAdventHealth Tampa, Florida, USA.
Iswanto SucandyAdventHealth Tampa - Digestive Health Institute Hepatopancreatobiliary (HPB) and Robotic Surgery Division Chief of Hepatopancreatobiliary Surgery, 3000 Medical Park Drive, Suite # 500, Tampa, FL, 33613, USA. researchdigestivehealth@gmail.com.ORCID http://orcid.org/0000-0003-2167-3215

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe adoption of robotic hepatectomy continues to expand due to its technical advantages over conventional laparoscopy. The Tampa Difficulty Score (TDS) was the first scoring system designed specifically to predict the technical complexity of robotic hepatectomy and assist in preoperative planning. Following its internal validation, external validation is necessary to assess its accuracy and applicability across different institutions and patient populations. This study aimed to externally validate the TDS using data from the Americas Minimally Invasive Liver Surgery Registry (AMILES).

methodsWith Institutional Review Board (IRB) approval, a retrospective analysis was conducted on AMILES registry patients who underwent robotic hepatectomy for liver tumors between 2019 and 2024. After excluding cases with missing data, 147 patients were analyzed using the TDS. Key clinical variables were compared across TDS groups, with data presented as frequency (%) and median (mean ± standard deviation). Statistical significance was set at p ≤ 0.05.

resultsPatients were stratified into four TDS groups: Group 1 (Less demanding, n = 19), Group 2 (Intermediate, n = 105), Group 3 (More demanding, n = 18), and Group 4 (Most demanding, n = 5). While demographic and preoperative variables were comparable, Child-Pugh scores trended higher with increasing TDS. Estimated blood loss varied significantly across the groups (p < 0.0003).

conclusionTDS effectively stratifies the complexity of robotic hepatectomy and correlates with intraoperative and postoperative outcomes. Its external validation across North American institutions confirms its utility in preoperative planning and risk assessment.

Indexed as

HepatectomyLiver NeoplasmsRobotic Surgical ProceduresAgedBlood Loss, SurgicalFemaleHumansMaleMiddle AgedRegistriesRetrospective StudiesRobotic difficulty scoring systemRobotic hepatectomy difficulty levelRobotic liver resectionTampa difficulty score, external validation

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.