Evidence map›Paper›PMID 32346418›Full record

ArticleExperimental and therapeutic medicine2020

Ultrasound, X-ray, computed tomography and clinical tests for diagnosis of abdominal purpura in children: A retrospective study.

Yurong Ge, Shuchun Liu

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2020. 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
–field-weighted citation impact
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.

  1. Article
  2. 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

2 authors.

Yurong GeDepartment of Ultrasonic Medicine, Guiyang Maternal and Child Health Hospital, Guiyang, Guizhou 550003, P.R. China.
Shuchun LiuDepartment of Anesthesiology, Guizhou Provincial People's Hospital, Guiyang, Guizhou 550002, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging modalities are not included in The European League Against Rheumatism, The Pediatric Rheumatology International Trials Organization and The Pediatric Rheumatology European Society 2010 criteria for the evaluation of abdominal purpura. The objective of the present study was to compare diagnostic parameters of ultrasound, X-ray and computed tomography (CT) for diagnosis of abdominal purpura considering the American College of Rheumatology (ACR) criteria as 'reference standard' in children with acute abdominal pain. Medical records of 215 children with acute abdominal pain were reviewed. Data regarding demographics and clinical characteristics, laboratory tests, X-ray, ultrasound findings, and computed tomographic images were collected and analyzed. Decision curve analysis was used for evaluation of the beneficial score for each diagnostic modality. Among diagnostic modalities, CT had the highest sensitivity (0.939); however, ultrasound findings had the highest accuracy (0.861) for diagnosis of abdominal purpura. Unlike X-ray and laboratory tests, ultrasound and CT were successful at detecting abdominal purpura when children had only colicky pain and were aged <20 years; however, occult blood stool test and granulocytes in the walls of small venules and arterioles (biopsy results) were negative. With respect to the ACR criteria, there were seven and three inconclusive results for ultrasound and CT, respectively. Abdominal ultrasound is an easy, non-invasive and safe method for the detection of abdominal purpura in children.

Indexed as

abdominal purpuraAmerican College of Rheumatology criteriabiopsycomputed tomographyoccult blood stool testultrasoundX-ray

Identifiers

PMID32346418
PMCPMC7185176

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.