Evidence map›Paper›PMID 28608450›Full record

ArticleThoracic cancer2017

Analysis of giant thoracic neoplasms: Correlations between imaging, pathology and surgical management.

Zhen Feng, Meng Li, Fang Liu, Yue Peng, Wangang Ren, Hounai Xie, Zhongmin Peng

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2017. 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
0.2field-weighted citation impact, top 42% 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, 3 citations in OpenAlex.

  1. Article
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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

7 authors at 2 institutions in 1 country.

Zhen FengDepartment of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.
Meng LiDepartment of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.
Fang LiuDepartment of Radiology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.
Yue PengDepartment of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.
Wangang RenDepartment of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.
Hounai XieDepartment of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.
Zhongmin PengDepartment of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.
Shandong Provincial Hospital · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA giant thoracic neoplasm is extremely rare and poorly understood. Our systemic study introduced computed tomography angiography (CTA) with three-dimensional (3D) reconstruction imaging and evaluated correlations between imaging, pathology, and surgical management.

methodsData from 45 patients undergoing surgery for giant thoracic neoplasm in our institution between May 2007 and November 2015 were collected. The clinical characteristics, imaging manifestations, preoperative biopsy, surgical management, postoperative pathology, and prognosis and their correlation were analyzed.

resultsThe clinical characteristics, imaging manifestations, and pathological types were complicated. Four patients underwent CTA with 3D reconstruction imaging and feeding vessels were found in three cases. Twenty-four selected patients accepted preoperative biopsy, eight of which were inconsistent with postoperative pathology. Complete resection was performed in 39 cases, 20 of which underwent extended excision. The median survival duration of all patients was 58 months (range 3.0-118.0). The one, three, and five-year survival rates were 86.0%, 64.4%, and 47.0%, respectively. Univariate analyses showed tumor size and resection status were prognostic factors for survival (P = 0.003 and P < 0.001, respectively).

conclusionsA giant thoracic neoplasm should preferably be treated in experienced centers for precise diagnosis and optimal therapy schemes with comprehensive consideration of clinical characters, imaging manifestations, pathology, surgical management, and prognosis. Innovative CTA with 3D reconstruction imaging together with preoperative biopsy are feasible and effective in therapeutic decision-making and surgical planning. Complete surgical resection remains the mainstay of curative therapy for all resectable tumors.

Indexed as

AdolescentAdultAgedComputed Tomography AngiographyFemaleHumansImage-Guided BiopsyImaging, Three-DimensionalKaplan-Meier EstimateMaleMiddle AgedPrognosisRetrospective StudiesThoracic NeoplasmsThoracotomyYoung AdultComputed tomography angiographygiant thoracic neoplasmsurgical managementthree-dimensional reconstruction

Identifiers

PMID28608450
PMCPMC5582482
OpenAlexW2625750910

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.