Evidence map›Paper›PMID 35174231›Full record

ArticleFrontiers in cardiovascular medicine2022

Case Report: Three-Dimensional Printing-Assisted Surgical Treatment of Complex Body Vein Ectopic Drainage.

Luyao Wei, Guowen Sun, Qin Wu, Weizhi Zhang, Mi Tang, Tianli Zhao, Shijun Hu

Open access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

7 authors at 3 institutions in 1 country.

Luyao WeiDepartment of Cardiothoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Guowen SunDepartment of Cardiothoracic Surgery, Chenzhou No. 1 People's Hospital, Chenzhou, China.
Qin WuDepartment of Echocardiography, The Second Xiangya Hospital, Central South University, Changsha, China.
Weizhi ZhangDepartment of Cardiothoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Mi TangDepartment of Cardiothoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Tianli ZhaoDepartment of Cardiothoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Shijun HuDepartment of Cardiothoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Second Xiangya Hospital of Central South University · CNCentral South University · CNChenzhou First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionComplex ectopic drainage of body veins is a rare congenital disease. Its preoperative diagnosis and surgical choice can be considerable challenges. CASE SUMMARY: A 5-year-old patient was diagnosed precisely by preoperative transthoracic echocardiography, computed tomography (CT), three-dimensional (3D) reconstruction, and three-dimensional (3D) printing of the heart and great blood vessels. The operation was performed successfully using flexible intraoperative intubation strategies.

conclusion3D printing technology can assist in the formulation of surgical protocols for complex body vein ectopic drainage. Flexible intubation strategies can increase the success of the operation.

Indexed as

3D printing3D reconstructioncomplex body vein ectopic drainagehepatic veininferior vena cavaintubationintubation complex body vein ectopic drainage

Identifiers

PMID35174231
PMCPMC8841589
OpenAlexW4210313364

What OpenQuestion holds

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LicenceCC BY
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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.