Evidence map›Paper›PMID 35239088›Full record

SynthesisJournal of medical ultrasonics (2001)2022

Efficacy of B-mode ultrasound-based attenuation for the diagnosis of hepatic steatosis: a systematic review/meta-analysis.

Masashi Hirooka, Yohei Koizumi, Kotarou Sunago, Yoshiko Nakamura, Kana Hirooka, Takao Watanabe, Osamu Yoshida, Yoshio Tokumoto, Masanori Abe, Yoichi Hiasa

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of medical ultrasonics (2001), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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

10 authors at 2 institutions in 1 country.

Masashi HirookaDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Tōon, Ehime, 791-0295, Japan. masashih@m.ehime-u.ac.jp.ORCID http://orcid.org/0000-0001-5634-5313
Yohei KoizumiDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Tōon, Ehime, 791-0295, Japan.
Kotarou SunagoDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Tōon, Ehime, 791-0295, Japan.
Yoshiko NakamuraDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Tōon, Ehime, 791-0295, Japan.
Kana HirookaDepartment of Gastroenterology and Metabology, National Hospital Organization Ehime Medical Center, Tōon, Japan.
Takao WatanabeDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Tōon, Ehime, 791-0295, Japan.
Osamu YoshidaDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Tōon, Ehime, 791-0295, Japan.
Yoshio TokumotoDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Tōon, Ehime, 791-0295, Japan.
Masanori AbeDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Tōon, Ehime, 791-0295, Japan.
Yoichi HiasaDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Tōon, Ehime, 791-0295, Japan.
Ehime University · JPEhime Medical Center · JP

Funding

Japan Society for the Promotion of Science 21K07701Japan Society for the Promotion of Science 21K08008
6 · The paper itself

Abstract

The accuracy of attenuation coefficients and B-mode ultrasound for distinguishing between S0 (healthy, < 5% fat) and S1-3 (steatosis ≥ 5%) livers compared to a controlled attenuation parameter is unclear. This meta-analysis aimed to comprehensively assess the diagnostic performance of B-mode ultrasound imaging for evaluating steatosis of ≥ 5%. We searched the PubMed, Embase, and Web of Science databases for studies on the accuracy of B-mode ultrasound for differentiating S0 from S1-3 in adults with chronic liver disease. A bivariate random-effects model was performed to estimate the pooled sensitivity, specificity, positive (PLR) and negative likelihood ratios (NLR), and diagnostic odds ratios (DORs). Subgroup analyses by attenuation coefficient, conventional B-mode ultrasound findings, and B-mode ultrasound findings without semi-quantification methods were performed. Liver steatosis was scored as follows: S0, < 5%; S1, 5-33%; S2, 33-66%; and S3, > 66%. Nineteen studies involving 3240 patients were analyzed. The pooled sensitivity and specificity of B-mode ultrasound for detecting S1 were 0.70 (95% confidence interval [CI], 0.63-0.77) and 0.86 (95% CI 0.82-0.89), respectively. The pooled PLR, NLR, and DOR were 4.90 (95% CI 3.69-6.51), 0.35 (95% CI 0.27- 0.44), and 14.1 (95% CI 8.7-23.0), respectively. The diagnostic accuracy was better in patients with attenuation coefficients (area under the curve [AUC], 0.89; sensitivity, 0.75; specificity, 0.86) than in those with conventional B-mode findings (AUC, 0.80; sensitivity, 0.59; specificity, 0.83). In particular, the diagnostic value was better when the attenuation coefficient guided by B-mode ultrasound was utilized. To screen patients with steatosis of ≥ 5%, attenuation coefficient should be used.

Indexed as

Elasticity Imaging TechniquesFatty LiverAdultBiopsyHumansLiverROC CurveUltrasonographyAttenuation coefficientB-mode ultrasoundFatty liverSteatosis

Identifiers

PMID35239088
OpenAlexW4214825404

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.