Evidence map›Paper›PMID 36747971›Full record

ArticleInternational journal of general medicine2023

Predictive Value of Red Cell Distribution Width in the Diagnosis of Peripherally Inserted Central Catheter (PICC)-Related Thrombosis Among Cancer Patients.

Rui Zhai, Xiaojie Chen, Guodong Wang, Jiaxuan Xu, Yong Yang

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2023. 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
1.1field-weighted citation impact, top 24% 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. Review
  2. A Novel Non-invasive Marker for Predicting Mechanical Prosthetic Heart Valve Thrombosis: Red Cell Distribution Width to Platelet Ratio.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

5 authors at 1 institution in 2 countries.

Rui Zhai *Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Critical Care Medicine, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Xiaojie Chen *Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Critical Care Medicine, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Guodong WangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Critical Care Medicine, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Jiaxuan XuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Critical Care Medicine, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Yong YangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Critical Care Medicine, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.ORCID 0000-0002-1514-722X
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to investigate the predictive value of red cell distribution width (RDW) in patients with peripherally inserted central catheter (PICC)-related thrombosis. Patients and methods: This was a case‒control study. A total of 98 cancer patients undergoing PICC placement from January 2017 to December 2019 at the ICU Venous Access Center of Peking University Cancer Hospital were retrospectively analyzed. These included 47 cases in the thrombosis group and 51 cases in the nonthrombosis group according to the occurrence of PICC-related thrombosis within 90 days after the PICC procedure. Results: a) RDW was significantly higher in the thrombosis group (15.98±1.93) than in the nonthrombosis group (13.98±1.09). Additionally, the number of smoking histories in the thrombosis group (18, 38.30%) was significantly higher than that in the nonthrombosis group (5, 9.80%). b) Logistic regression analysis indicated that RDW and smoking history were independent risk factors for PICC-related thrombosis (OR: 3.028, P<0.001; OR: 5.640, P=0.023). c) The area under the receiver operating characteristic (ROC) curve of the combination of RDW and smoking history was 86.8%, and the sensitivity and specificity for predicting thrombosis after PICC were 85.1% and 80%, respectively. d) Cox regression analysis revealed that RDW and smoking history were independent risk factors for PICC-related thrombosis (p<0.001). e) Results from Kaplan‒Meier analysis showed that incidence of PICC-related thrombosis in patients with RDW less than 14.75% is significantly lower than those with RDW 14.75% and above (p<0.001). e) Baseline RDW was not different between the two groups (P>0.05), ΔRDW was significantly different between the two groups (p<0.001). Conclusion: The combined use of RDW and smoking history has early evaluation and predictive value in the diagnosis of PICC-related thrombosis.

Indexed as

cancer patientsPICC-related thrombosisred cell distribution widthsmoking history

Identifiers

PMID36747971
PMCPMC9899010
OpenAlexW4318477516

What OpenQuestion holds

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LicenceCC BY-NC
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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.