Evidence map›Paper›PMID 29595692›Full record

ArticleMedicine2018

Color Doppler ultrasound diagnosis of intrarenal vein thrombosis: A rare case report and literature review.

Yixiu Zhang, Ying Wang, Jianchu Li, Sheng Cai

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 2018. 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
–field-weighted citation impact, top 93% 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, 4 citations in OpenAlex.

  1. Prenatal Renal Vein Thrombosis.Children (Basel, Switzerland) · 2025
    Article
  2. Review
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 at 2 institutions in 1 country.

Yixiu ZhangDepartment of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ying Wang
Jianchu Li
Sheng Cai
Peking Union Medical College Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleWe present a case of intrarenal vein thrombosis (IRVT) diagnosed by ultrasound (US). To the best of our knowledge, this is the first reported case in the imaging literature. PATIENT CONCERNS: A 15-year-old boy with a 4-year history of thrombocytopenic purpura presented to the emergency room with a 2-day history of sudden-onset severe left flank pain associated with gross hematuria. DIAGNOSES: Hypercholesterolemia, proteinuria, and elevated plasma creatinine level were present. The US examination showed obscurely structured, sparsely distributed arterial and venous flow signals, and an increased resistance index (RI) in a localized area. The diagnosis was acute renal failure and nephrotic syndrome accompanied by left IRVT.

interventionsThe patient was treated with anticoagulation therapy for 1 month. OUTCOMES: Clinical symptoms were relieved. The US re-examination revealed that the arterial flow spectra had returned to normal. Also, more venous flow signals were observed in the involved area, suggesting thrombolysis. LESSONS: This previously unreported case should alert sonographers to include IRVT in the differential diagnosis of flank pain associated with hematuria. In such cases, both kidneys and different areas of the same kidney should be scanned and compared. Some features, including an obscure structure and an increased RI for the involved area indicate possible IRVT.

Indexed as

AdolescentAnticoagulantsHumansKidney DiseasesMaleUltrasonography, Doppler, ColorVenous ThrombosisAnticoagulants

Identifiers

PMID29595692
PMCPMC5895364
OpenAlexW2795172271

What OpenQuestion holds

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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.