Evidence map›Paper›PMID 38086990›Full record

ArticleScientific reports2023

Extracellular volume by dual-energy CT, hepatic reserve capacity scoring, CT volumetry, and transient elastography for estimating liver fibrosis.

Mariko Mizuno, Kenichiro Tago, Masahiro Okada, Yujiro Nakazawa, Takayuki Arakane, Hiroki Yoshikawa, Hayato Abe, Naoki Matsumoto, Tokio Higaki, Yukiyasu Okamura and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  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

11 authors at 1 institution in 1 country.

Mariko MizunoDepartments of Radiology, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan.
Kenichiro TagoDepartments of Radiology, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan.
Masahiro OkadaDepartments of Radiology, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan. okada.masahiro@nihon-u.ac.jp.
Yujiro NakazawaDepartments of Radiology, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan.
Takayuki ArakaneDepartments of Radiology, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan.
Hiroki YoshikawaDepartments of Radiology, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan.
Hayato AbeDepartments of Digestive Surgery, Nihon University School of Medicine, Tokyo, Japan.
Naoki MatsumotoDepartments of Gastroenterology and Hepatology, Nihon University School of Medicine, Tokyo, Japan.
Tokio HigakiDepartments of Digestive Surgery, Nihon University School of Medicine, Tokyo, Japan.
Yukiyasu OkamuraDepartments of Digestive Surgery, Nihon University School of Medicine, Tokyo, Japan.
Tadatoshi TakayamaDepartments of Digestive Surgery, Nihon University School of Medicine, Tokyo, Japan.
Nihon University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our purpose was to compare the efficacy of liver and splenic volumetry (LV and SV), extracellular volume (ECV) on dual-layer spectral-detector CT scoring systems for estimating liver fibrosis (LF) in 45 patients with pathologically staged LF. ECV measured on CT value (HU-ECV), iodine density (ID-ECV), atomic number (Zeff-ECV), and electron density (ED-ECV), LV or SV/body surface area (BSA), albumin bilirubin grade (ALBI), model for end-stage liver disease (MELD) score, aspartate aminotransferase platelet ratio index (APRI), and fibrosis index based on the four factors (FIB-4) were recorded. Transient elastography was measured in 22 patients, and compared to ECV. No correlation was found between transient elastography and all ECVs. Area under the curve (AUC) for estimating F4 on transient elastography was 0.885 (95% CI 0.745-1.000). ALBI was weakly associated with LF (p = 0.451), while MELD (p < 0.001), APRI (p = 0.010), and FIB-4 (p = 0.010) were significantly associated with LF. SV/BSA had a higher AUC than MELD, APRI, and FIB-4 for estimating F4 (AUC = 0.815, 95% CI 0.63-0.999), but MELD (AUC = 0.799, 95% CI 0.634-0.965), APRI (AUC = 0.722, 95% CI 0.561-0.883), and FIB-4 (AUC = 0.741, 95% CI 0.582-0.899) had higher AUCs than ALBI. SV/BSA significantly contributed to differentiation for estimating F4; odds ratio (OR) was 1.304-1.353 (Reader 1-2; R1-R2), whereas MELD significantly contributed to the differentiation between F0-2 and F3-4; OR was 1.528-1.509 (R1-R2). AUC for SV/BSA and MELD combined was 0.877 (95% CI 0.748-1.000). In conclusion, SV/BSA allows for a higher estimation of liver cirrhosis (F4). MELD is more suitable for assessing severe LF (≥ F3-4). The combination of SV/BSA and MELD had a higher AUC than SV/BSA alone for liver cirrhosis (F4).

Indexed as

Elasticity Imaging TechniquesEnd Stage Liver DiseaseAspartate AminotransferasesBiomarkersHumansLiverLiver CirrhosisPlatelet CountRetrospective StudiesSeverity of Illness IndexTomography, X-Ray ComputedAspartate AminotransferasesBiomarkers

Identifiers

PMID38086990
PMCPMC10716370
OpenAlexW4389617082

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.