Evidence map›Paper›PMID 33578595›Full record

ArticleMedicine2021

Efficiency of red cell distribution width in predicting severity and mortality of patients with acute pancreatitis: A protocol for systematic review and meta-analysis.

Tao Cheng, Bo-Fu Liu, Tian-Yong Han, Pan Pan, Jun-Zhao Liu, Haifang Yu

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Article
  5. 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

6 authors at 1 institution in 1 country.

Tao ChengEmergency Department.ORCID 0000-0001-7861-7922
Bo-Fu LiuEmergency Department.
Tian-Yong HanEmergency Department.
Pan PanEmergency Department.
Jun-Zhao LiuEmergency Department.
Haifang YuEmergency Department.
Sichuan University · CN

Funding

the Science Foundation of Science and Technology Department of Sichuan 2018SZ0390
6 · The paper itself

Abstract

backgroundPrevious studies have showed that red cell distribution width (RDW) may be an inflammatory status, and it may be used to predict prognosis of acute pancreatitis (AP). However, there are no systematic reviews for the evidence, and the association between RDW and AP is still not completely understood. Therefore, we will undertake a systematic review of the literature to summarize previous evidence regarding this topic, in order to clarify the value of RDW predicting prognosis of patients with AP.

methodsWe will search EMBASE, Web of Knowledge, PubMed, ClinicalTrials.gov and Cochrane Library from their inception to Mar 2021 to retrieve relevant studies. Two authors independently judged study eligibility and extracted data. Heterogeneity will be examined by computing the Q statistic and I2 statistic.

resultsThis study proved the Efficiency of RDW in predicting mortality and severity of patients with AP. And provided easy method for clinical evaluation for AP patients.

conclusionsThe findings of this systematic review will show the value of RDW predicting prognosis of patients with AP. ETHICS AND DISSEMINATION: Ethical approval is unnecessary as this protocol is only for systematic review and does not involve privacy data. The findings of this study will be disseminated electronically through a peer-review publication or presented at a relevant conference.

Indexed as

AdultClinical Trials as TopicErythrocyte IndicesHumansMeta-Analysis as TopicPancreatitisPrognosisResearch DesignSeverity of Illness IndexSystematic Reviews as Topic

Identifiers

PMID33578595
PMCPMC10545405
OpenAlexW3119583787

What OpenQuestion holds

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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.