Evidence map›Paper›PMID 34354550›Full record

ArticleContrast media & molecular imaging2021

Analysis of the Curative Effect of Posterior Approach on Lumbar Brucellar Spondylitis with Abscess through Magnetic Resonance Imaging under Improved Watershed Algorithm.

Zuoji Feng, Xiaomei Wang, Xiling Yin, Jingqi Han, Weijie Tang

Open access · hybridAbstract read
In one paragraph

Article in Contrast media & molecular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Journal of clinical medicine · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
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

5 authors at 1 institution in 1 country.

Zuoji FengDepartment of Orthopaedics, Huangdao District Hospital of Traditional Chinese Medicine, Qingdao 266500, China.ORCID 0000-0002-6267-3679
Xiaomei WangOperating Room, Huangdao District Hospital of Traditional Chinese Medicine, Qingdao 266500, China.ORCID 0000-0002-7184-9445
Xiling YinDepartment of Nursing, Huangdao District Hospital of Traditional Chinese Medicine, Qingdao 266500, China.ORCID 0000-0003-0336-4005
Jingqi HanDepartment of Imaging, Huangdao District Hospital of Traditional Chinese Medicine, Qingdao 266500, China.ORCID 0000-0001-8758-7921
Weijie TangDepartment of Orthopaedics, Huangdao District Hospital of Traditional Chinese Medicine, Qingdao 266500, China.ORCID 0000-0002-2970-6424
Jimo District Qingdao Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the performance of improved watershed algorithm in processing magnetic resonance imaging (MRI) images and the effect of the processed images on the treatment of lumbar brucellar spondylitis (BS) with abscess by the posterior approach, the watershed algorithm was improved by adding constraints such as noise reduction and regional area attribute. 50 patients with abscessed lumbar disc herniation admitted to the hospital from January 2018 to January 2019 were selected, and all of them were examined by MRI. They were rolled into two groups in random. The treatment group (

Indexed as

AlgorithmsAbscessAdultAgedBrucellaBrucellosisCase-Control StudiesFemaleFollow-Up StudiesHumansMagnetic Resonance ImagingMaleMiddle AgedPrognosisSpondylitis

Identifiers

PMID34354550
PMCPMC8292047
OpenAlexW3178360294

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.