Evidence map›Paper›PMID 29434761›Full record

ArticleExperimental and therapeutic medicine2018

The value of X-ray digital tomosynthesis in the diagnosis of urinary calculi.

Shifeng Liu, Hong Wang, Weihua Feng, Xiaokun Hu, Jian Guo, Qingjun Shang, Zixiang Li, Hongsheng Yu

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Giant bladder stone: A case report.Experimental and therapeutic medicine · 2022
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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

8 authors at 2 institutions in 1 country.

Shifeng LiuCenter for Interventional Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266555, P.R. China.
Hong WangDepartment of Dermatology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266555, P.R. China.
Weihua FengDepartment of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266555, P.R. China.
Xiaokun HuCenter for Interventional Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266555, P.R. China.
Jian GuoDepartment of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266555, P.R. China.
Qingjun ShangDepartment of Tumor Radiotherapy, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266555, P.R. China.
Zixiang LiCenter for Interventional Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266555, P.R. China.
Hongsheng YuDepartment of Tumor-Comprehensive Treatment, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266555, P.R. China.
Qingdao University · CNAffiliated Hospital of Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary calculus is a common and recurrent condition that affects kidney function. The present study evaluated the use of digital tomosynthesis (DTS) and Kidneys-Ureters-Bladder (KUB) radiography as methods of diagnosing urinary calculi. Unenhanced multidetector computed tomography (UMDCT) was used in the diagnosis of calculi. KUB radiography and DTS procedures were conducted on patients prior to and following bowel preparation to detect kidney, ureteral and bladder calculi. Differences in diagnostic performance of KUB radiography and DTS imaging on prepared and unprepared bowel were evaluated using the χ

Indexed as

computer tomographydigital tomosynthesiskidneys-ureters-bladderunenhanced multidetector computed tomographyurinary calculi

Identifiers

PMID29434761
PMCPMC5774395
OpenAlexW2770859838

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.