Evidence map›Paper›PMID 30128864›Full record

SynthesisCurrent medical science2018

Predictive Effect of Mean Platelet Volume in Patients with Portal Vein Thrombosis: A Meta-analysis of Case-control Studies.

Wen-Yi Lin, Xuan Lu, Feng-Juan Fan, Yu Hu

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Current medical science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Evaluation of Platelet Indices in Patients with Splanchnic Vein Thrombosis.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2021
    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

4 authors.

Wen-Yi LinInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Xuan LuInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Feng-Juan FanInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Yu HuInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. dr_huyu@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mean platelet volume (MPV) is an early marker of platelet activation. Larger platelets, compared to small ones, increase platelet adhesion and aggregation, and present a higher thrombotic activity. Some studies have explored the association between MPV and the morbidity of portal vein thrombosis (PVT). The aim of this study was to evaluate the predictive effect of MPV in patients with PVT by a meta-analysis. We searched Pubmed, Web of Science, SCOPUS, OVID, CNKI and CBMD from database inception to September 13,2017. Seven studies in accordance with selection criteria were included. The extraction of basic data was independently conducted by two reviewers. The mean difference in MPV between PVT patients and controls were pooled with weighted mean difference (WMD) and 95% confidence interval of 0.88 fl (95% CI: 0.61-1.15). A random-effect model was chosen for an obvious heterogeneity in the pooling (Chi-square=27.12, df=6, P<000l, I

Indexed as

HumansMean Platelet VolumePortal VeinPredictive Value of TestsVenous Thrombosismean platelet volumemetaanalysisportal vein thrombosispredictionrisk factors

Identifiers

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.