Evidence map›Paper›PMID 35763514›Full record

SynthesisPloS one2022

Performance of resistive index and semi-quantitative power doppler ultrasound score in predicting acute kidney injury: A meta-analysis of prospective studies.

Qiong Wei, Yu Zhu, Weifeng Zhen, Xiaoning Zhang, Zhenhua Shi, Ling Zhang, Jiuju Zhou

Erratum issuedAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Qiong WeiDepartment of Intensive Care Unit, PLA 983rd Hospital, Tianjin, China.ORCID 0000-0001-9839-8413
Yu ZhuDepartment of Intensive Care Unit, PLA 983rd Hospital, Tianjin, China.
Weifeng ZhenDepartment of Intensive Care Unit, PLA 983rd Hospital, Tianjin, China.
Xiaoning ZhangDepartment of Intensive Care Unit, PLA 983rd Hospital, Tianjin, China.
Zhenhua ShiDepartment of Intensive Care Unit, PLA 983rd Hospital, Tianjin, China.
Ling ZhangDepartment of Intensive Care Unit, PLA 983rd Hospital, Tianjin, China.
Jiuju ZhouDepartment of Intensive Care Unit, PLA 983rd Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess the predictive value of the renal resistive index (RRI) and power Doppler ultrasound (PDU) on subsequent acute kidney injury (AKI) risk using a meta-analytic approach. We searched eligible studies in PubMed, EmBase, and the Cochrane library from inception until August 2021. The parameters included the sensitivity, specificity, positive and negative likelihood ratios (PLR and NLR), diagnostic odds ratio (DOR), and area under the receiver operating characteristic curves (AUC). Twenty-three prospective studies involving 2,400 patients were selected. The pooled sensitivity and specificity of the RRI and PDU were 0.76 and 0.79, and 0.64 and 0.90, respectively. The pooled PLR and NLR were 3.64 and 0.31, and 6.58 and 0.40 for the RRI and PDU, respectively. The DORs of the RRI and PDU for predicting AKI were 11.76, and 16.32, respectively. The AUCs of the RRI and PDU for predicting AKI were 0.83, and 0.86, respectively. There were no significant differences between the RRI and PDU for predicting AKI in terms of sensitivity, PLR, NLR, DOR, and AUC. The specificity of the RRI was lower than that of the PDU for predicting AKI. This study found that the predictive performance of the RRI and PDU from the Doppler ultrasound for AKI was similar, which need to be further verified based on the direct comparison results.

Indexed as

Acute Kidney InjuryHumansProspective StudiesROC CurveUltrasonographyUltrasonography, Doppler

Identifiers

PMID35763514
PMCPMC9239473

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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.