Evidence map›Paper›PMID 26401083›Full record

ArticleWorld journal of gastroenterology2015

Platelet count combined with right liver volume and spleen volume measured by magnetic resonance imaging for identifying cirrhosis and esophageal varices.

Xiao-Li Chen, Tian-Wu Chen, Xiao-Ming Zhang, Zhen-Lin Li, Nan-Lin Zeng, Ping Zhou, Hang Li, Jing Ren, Guo-Hui Xu, Jia-Ni Hu

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 23% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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  10. Prevalence and Risk Factors of Metabolic Associated Fatty Liver Disease in Xinxiang, China.International journal of environmental research and public health · 2020
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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

10 authors at 1 institution in 1 country.

Xiao-Li ChenXiao-Li Chen, Tian-Wu Chen, Xiao-Ming Zhang, Nan-Lin Zeng, Hang Li, Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China.
Tian-Wu ChenXiao-Li Chen, Tian-Wu Chen, Xiao-Ming Zhang, Nan-Lin Zeng, Hang Li, Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China.
Xiao-Ming ZhangXiao-Li Chen, Tian-Wu Chen, Xiao-Ming Zhang, Nan-Lin Zeng, Hang Li, Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China.
Zhen-Lin LiXiao-Li Chen, Tian-Wu Chen, Xiao-Ming Zhang, Nan-Lin Zeng, Hang Li, Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China.
Nan-Lin ZengXiao-Li Chen, Tian-Wu Chen, Xiao-Ming Zhang, Nan-Lin Zeng, Hang Li, Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China.
Ping ZhouXiao-Li Chen, Tian-Wu Chen, Xiao-Ming Zhang, Nan-Lin Zeng, Hang Li, Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China.
Hang LiXiao-Li Chen, Tian-Wu Chen, Xiao-Ming Zhang, Nan-Lin Zeng, Hang Li, Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China.
Jing RenXiao-Li Chen, Tian-Wu Chen, Xiao-Ming Zhang, Nan-Lin Zeng, Hang Li, Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China.
Guo-Hui XuXiao-Li Chen, Tian-Wu Chen, Xiao-Ming Zhang, Nan-Lin Zeng, Hang Li, Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China.
Jia-Ni HuXiao-Li Chen, Tian-Wu Chen, Xiao-Ming Zhang, Nan-Lin Zeng, Hang Li, Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China.
North Sichuan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo determine whether the combination of platelet count (PLT) with spleen volume parameters and right liver volume (RV) measured by magnetic resonance imaging (MRI) could predict the Child-Pugh class of liver cirrhosis and esophageal varices (EV).

methodsTwo hundred and five cirrhotic patients with hepatitis B and 40 healthy volunteers underwent abdominal triphasic-enhancement MRI and laboratory examination of PLT in 10(9)/L. Cirrhotic patients underwent endoscopy for detecting EV. Spleen maximal width (W), thickness (T) and length (L) in mm together with spleen volume (SV) and RV in mm(3) were measured by MRI, and spleen volume index (SI) in mm(3) was obtained by W × T × L. SV/PLT, SI/PLT and RV × PLT/SV (RVPS) were calculated and statistically analyzed to assess cirrhosis and EV.

resultsSV/PLT (r = 0.676) and SI/PLT (r = 0.707) increased, and PLT (r = -0.626) and RVPS (r = -0.802) decreased with the progress of Child-Pugh class (P < 0.001 for all). All parameters could determine the presence of cirrhosis, distinguish between each class of Child-Pugh class, and identify the presence of EV [the areas under the curve (AUCs) = 0.661-0.973]. Among parameters, RVPS could best determine presence and each class of cirrhosis with AUCs of 0.973 and 0.740-0.853, respectively; and SV/PLT could best identify EV with an AUC of 0.782.

conclusionThe combination of PLT with SV and RV could predict Child-Pugh class of liver cirrhosis and identify the presence of esophageal varices.

Indexed as

Blood PlateletsMagnetic Resonance ImagingPlatelet CountAdultAgedAged, 80 and overArea Under CurveEndoscopy, GastrointestinalEsophageal and Gastric VaricesFemaleHumansLiverLiver CirrhosisMaleMiddle AgedObserver VariationCirrhosisHepatic lobeMagnetic resonance imagingPlatelet countSpleen

Identifiers

PMID26401083
PMCPMC4572799
OpenAlexW2416230897

What OpenQuestion holds

Textmetadata
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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.