Evidence map›Paper›PMID 38683274›Full record

ArticleHepatology international2024

Clinical evaluation of droplet digital pcr for suspected ascites infection in patients with liver cirrhosis.

Jie Han, Fei-Li Wei, Hao-Xin Wu, Lu-Yao Guo, Shan Guo, Ying Han, Ya-Nan Sun, Wei Hou, Zhong-Jie Hu

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Article in Hepatology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

9 authors.

Jie Han *Beijing You'An Hospital, Capital Medical University, No. 8 You An Men Wai Street, Fengtai District, Beijing, 100069, China.
Fei-Li Wei *Beijing Precision Medicine and Transformation Engineering Technology Research Center of Hepatitis and Liver Cancer, Beijing Institute of Hepatology, Beijing You'An Hospital, Capital Medical University, No. 8 You An Men Wai Street, Fengtai District, Beijing, 100069, China.
Hao-Xin WuBeijing You'An Hospital, Capital Medical University, No. 8 You An Men Wai Street, Fengtai District, Beijing, 100069, China.
Lu-Yao GuoBeijing You'An Hospital, Capital Medical University, No. 8 You An Men Wai Street, Fengtai District, Beijing, 100069, China.
Shan GuoBeijing Precision Medicine and Transformation Engineering Technology Research Center of Hepatitis and Liver Cancer, Beijing Institute of Hepatology, Beijing You'An Hospital, Capital Medical University, No. 8 You An Men Wai Street, Fengtai District, Beijing, 100069, China.
Ying HanBeijing You'An Hospital, Capital Medical University, No. 8 You An Men Wai Street, Fengtai District, Beijing, 100069, China.
Ya-Nan SunBeijing You'An Hospital, Capital Medical University, No. 8 You An Men Wai Street, Fengtai District, Beijing, 100069, China.
Wei HouBeijing You'An Hospital, Capital Medical University, No. 8 You An Men Wai Street, Fengtai District, Beijing, 100069, China. baoerlanglang@163.com.
Zhong-Jie HuBeijing You'An Hospital, Capital Medical University, No. 8 You An Men Wai Street, Fengtai District, Beijing, 100069, China. huzhongjie@ccmu.edu.cn.

Funding

Beijing Municipal Science & Technology Commission, Administrative Commission of Zhongguancun Science Park Z211100002921004Capital Health Research and Development of Special Fund 2022-2-2183Clinical Research Special Fund of Wu Jieping Medical Foundation of China 320.6750.2022-08-1
6 · The paper itself

Abstract

backgroundDroplet digital PCR (ddPCR) is increasingly used in diagnosing clinical pathogens, but its effectiveness in cirrhosis patients with suspected ascites infection remains uncertain.

methodsThe diagnostic performance of ddPCR was assessed in 305 ascites samples, utilizing culture and clinical composite standards. The quantitative value and potential clinical impact of ddPCR were further analyzed in patients with spontaneous bacterial peritonitis.

resultsWith culture standards, ddPCR demonstrated a sensitivity of 86.5% and specificity of 83.2% for bacterial or fungal detection. After adjustment of clinical composite criteria, specificity increased to 96.4%. Better diagnostic performance for all types of targeted pathogens, particularly fungi, was observed with ddPCR compared to culture, and more polymicrobial infections were detected (30.4% versus 5.7%, p < 0.001). Pathogen loads detected by ddPCR correlated with white blood cell count in ascites and blood, as well as polymorphonuclear cell (PMN) count in ascites, reflecting infection status rapidly. A positive clinical impact of 55.8% (43/77) was observed for ddPCR, which was more significant among patients with PMN count ≤ 250/mm

conclusionsddPCR, with appropriate panel design, has advantages in pathogen detection and clinical management of ascites infection, especially for patients with fungal and polymicrobial infections. Patients with atypical spontaneous bacterial peritonitis benefited more from ddPCR.

Indexed as

AscitesBacterial InfectionsLiver CirrhosisPeritonitisPolymerase Chain ReactionAgedFemaleHumansMaleMiddle AgedMycosesSensitivity and SpecificityAscites infectionDroplet digital PCREtiological diagnosisSpontaneous bacterial peritonitis

Identifiers

PMID38683274

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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.