Evidence map›Paper›PMID 27966578›Full record

Trial reportScientific reports2016

Urinary KIM-1: a novel biomarker for evaluation of occupational exposure to lead.

Rong Zhou, Yahong Xu, Jie Shen, Lin Han, Xi Chen, Xuefang Feng, Xingya Kuang

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

19 citing papers in PubMed, 30 citations in OpenAlex.

  1. Trial
  2. The toxic footprint of lead exposure: oxido-inflammatory biomarkers in urban populations of Niger Delta, Nigeria.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
    Article
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  13. Review
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  16. Biochemical evaluation of kidney disease.Translational andrology and urology · 2019
    Review
  17. Chronic Kidney Disease and Exposure to Nephrotoxic Metals.International journal of molecular sciences · 2017
    Review
  18. Article
  19. 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

7 authors at 2 institutions in 1 country.

Rong ZhouDepartment of Nephrology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China.
Yahong XuDepartment of Nephrology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China.
Jie ShenDepartment of Nephrology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China.
Lin HanDepartment of Nephrology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China.
Xi ChenDepartment of Nephrology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China.
Xuefang FengDepartment of Nephrology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China.
Xingya KuangDepartment of Occupational medicine, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China.
Yangpu Hospital of Tongji University · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic occult lead poisoning often develops ensuing occupational lead exposure. Early diagnosis of lead poisoning is critical for timely discontinuation of lead exposure and for prognosis. This study explored the value of urinary kidney injury molecule-1 (KIM-1) in diagnosing renal injury induced by lead at an early stage. We retrospectively analyzed 92 workers exposed to occupational lead and demonstrated a better correlation ship between blood lead levels and urine excretion of KIM-1 than other traditional renal injury biomarkers following creatinine adjustment. Receiver operating characteristic curve analysis of the ability of diverse biomarkers for predicting kidney injury in lead-exposed workers demonstrated that the order of predicting accuracy of the studied biomarkers is as follows: urinary KIM-1-to-creatinine ratio > urinary N-acetyl-β-(D)-glucosaminidase-to-creatinine ratio > urinary β2-microglobulin-to-creatinine ratio > urinary α1-microglobulin-to-creatinine ratio, with the Youden index being 16.59 ng/g, 14.01 U/g, 0.15 mg/g, and 4.63 mg/g, respectively. Collectively, our findings suggest that short-period occupational lead exposure may cause injury of renal tubules. Urinary excretion of KIM-1 correlates with blood lead levels better than other traditional renal injury biomarkers, including N-acetyl-β-(D)-glucosaminidase, α1-microglobulin, and β2-microglobulin. Longitudinal surveillance of urinary KIM-1 may aid for early diagnosis of renal tubular injury in workers with occupational lead exposure.

Indexed as

AdolescentAdultBiomarkersCreatinineFemaleHepatitis A Virus Cellular Receptor 1HumansKidney DiseasesLeadMaleOccupational ExposureRetrospective StudiesBiomarkersCreatinineHAVCR1 protein, humanHepatitis A Virus Cellular Receptor 1Lead

Identifiers

PMID27966578
PMCPMC5155212
OpenAlexW2562518403

What OpenQuestion holds

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LicenceCC BY
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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.