Evidence map›Paper›PMID 32152904›Full record

ArticleIndian journal of gastroenterology : official journal of the Indian Society of Gastroenterology2020

Computed tomography-based evaluation of segmental variation of liver density and its implications.

Rohan Chaminda Siriwardana, Thenuka Sivasundaram, Lakmali Paranaheva, Dileepa Senajith Ediriweera

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Article in Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology, 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
0.1field-weighted citation impact, top 51% 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, 3 citations in OpenAlex.

  1. Article
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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

4 authors at 2 institutions in 1 country.

Rohan Chaminda SiriwardanaDepartment of Surgery, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka. rohansiriwardana@yahoo.com.
Thenuka SivasundaramDepartment of Surgery, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
Lakmali ParanahevaDepartment of Radiology, Central Hospital, Colombo, Sri Lanka.
Dileepa Senajith EdiriweeraICT Center, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
University of Kelaniya · LKNational Hospital of Sri Lanka · LK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-alcoholic fatty liver disease (NAFLD) has become a major health concern. Focal fat deposition frequently seems to involve segment IV b. This indicates a consistent pattern of fat deposition in the liver. The present study evaluates the pattern of fat distribution in the liver using computed tomogram (CT) attenuation index.

methodsTwo radiologists evaluated 517 non-contrast CT scan images of the abdomen and pelvis. Two 40-mm

resultsThe mean age (SD) of the patients was 55.5 year (15.6), and 276 (53.4%) were males. The overall mean hepatic density was 53.05 (95% CI, 52.95-53.15) Hounsfield units (HU). The lowest mean HSD was observed in segment IV b and the highest mean HSD was observed in segment V. Segments I, IV a and IV b showed significantly lower mean HSDs and segments V, VI and VIII showed significantly higher mean HSDs compared with the overall mean MHA/mean hepatic density (MHD), whereas mean HSDs of segments II, III and VII were not significantly different from the overall mean MHA/MHD.

conclusionSegment IV b seems to be the most vulnerable site for fat deposition; focal lesions here should be carefully evaluated. Segments II, III and VII seem to closely represent MHD.

Indexed as

Tomography, X-Ray ComputedHumansLiverCirrhosisDiagnostic imagingFatty liverNon-alcholic fatty liver disease

Identifiers

PMID32152904
OpenAlexW3012075287

What OpenQuestion holds

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Registered trials

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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.