Evidence map›Paper›PMID 31024959›Full record

ArticleWorld journal of clinical cases2019

Robot-assisted gallbladder-preserving hepatectomy for treating S5 hepatoblastoma in a child: A case report and review of the literature.

Di-Xiang Chen, Shan-Jie Wang, Ya-Nan Jiang, Mu-Chuan Yu, Jun-Zhen Fan, Xian-Qiang Wang

Open access · diamondAbstract readCase Reports
In one paragraph

Article in World journal of clinical cases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

7 citing papers in PubMed, 17 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Di-Xiang ChenDepartment of Pediatrics, PLA General Hospital, Beijing 100853, China.
Shan-Jie WangDepartment of Hepatobiliary, Sixth People's Hospital of Jinan Affiliated to Jining Medical School, Jinan 250200, Shandong Province, China.
Ya-Nan JiangBeijing University of Chinese Medicine, Beijing 100029, China.
Mu-Chuan YuDepartment of Hepatobiliary, Sixth People's Hospital of Jinan Affiliated to Jining Medical School, Jinan 250200, Shandong Province, China.
Jun-Zhen FanDepartment of Pathology, PLA General Hospital, Beijing 100853, China.
Xian-Qiang WangDepartment of Pediatrics, PLA General Hospital, Beijing 100853, China. wxq301@gmail.com.
Chinese PLA General Hospital · CNBeijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatoblastoma (HB) is the most common hepatic malignant tumour in children, accounting for approximately 50%-60% of primary hepatic malignant tumours in children, mostly in children under 3 years old. In Western countries, the incidence of hepatoblastoma is approximately 1-2/100000. Da Vinci surgical system is fast becoming a key instrument in microinvasive surgery. The past decade has seen the rapid development of robot-assisted laparoscopy, which expends many fields including the liver surgery. This paper discusses the significance and feasibility of robot-assisted gallbladder-preserving hepatectomy for treating S5 hepatoblastoma in children. The aim of this essay is to compare the safety and effectiveness of robotic surgery with conventional laparoscopic surgery, and explore the meaning of preservation of the gallbladder by sharing this case. CASE SUMMARY: A 3-year-old child with a liver mass in the 5

conclusionRobot-assisted S5 hepatectomy with gallbladder preservation is safe and feasible for specific patients.

Indexed as

Case reportHepatectomyHepatoblastomaPediatricsRobotic surgery

Identifiers

PMID31024959
PMCPMC6473129
OpenAlexW2928598185

What OpenQuestion holds

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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.