Evidence map›Paper›PMID 40740681›Full record

ArticleDevice2024

A soft robotic, modular laparoscopic grasper for atraumatic retraction of the small intestine.

Lorenzo Kinnicutt, Leah T Gaeta, Jacob Rogatinsky, Jungjae Lee, Amy Cameron, Amartya J Naik, Donald T Hess, Tommaso Ranzani

Abstract read
In one paragraph

Article in Device, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Lorenzo KinnicuttDepartment of Mechanical Engineering, Boston University College of Engineering, Boston, MA, USA.
Leah T GaetaDepartment of Mechanical Engineering, Boston University College of Engineering, Boston, MA, USA.
Jacob RogatinskyDepartment of Mechanical Engineering, Boston University College of Engineering, Boston, MA, USA.
Jungjae LeeDepartment of Electrical & Computer Engineering, Boston University College of Engineering, Boston, MA, USA.
Amy CameronDepartment of Biomedical Engineering, Boston University College of Engineering, Boston, MA, USA.
Amartya J NaikDepartment of Mechanical Engineering, Boston University College of Engineering, Boston, MA, USA.
Donald T HessSection of Minimally Invasive and Weight Loss Surgery, Boston Medical Center, Boston, MA, USA.
Tommaso RanzaniDepartment of Mechanical Engineering, Boston University College of Engineering, Boston, MA, USA.

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
Enabling advanced endovascular beating-heart procedures through soft roboticsR21EB028363 · NIBIB · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI RANZANI, TOMMASO · 2020 to 2022
$716k
NCATS NIH HHS UL1 TR001430NIBIB NIH HHS R21 EB028363
6 · The paper itself

Abstract

In order to address the risk of iatrogenic trauma and retraction challenges associated with minimally invasive surgery, we propose a novel laparoscopic grasper equipped with a suction unit and elastomeric actuators that are inherently soft and compliant, as well as sensors to monitor tissue interaction forces. The device complies with laparoscopic size constraints by entering the abdominal cavity in a closed configuration, then expanding upon entry to gently grasp and retract even severely dilated intestinal segments. In order to minimize the usage of surgical access ports and personnel, the end effector of the proposed grasper is designed to detach and be anchored to the abdominal wall to serve as a passive retraction mechanism. Testing has demonstrated the ability of the proposed grasper to hold and retract

Identifiers

PMID40740681
PMCPMC12309402

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.