Evidence map›Paper›PMID 35885509›Full record

ArticleDiagnostics (Basel, Switzerland)2022

The Spatial Distribution of Renal Fibrosis Investigated by Micro-probe Terahertz Spectroscopy System.

Han Li, Jiarong Ding, Huan Zhang, Maoting Li, Xueli Lai

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 48% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Critical Systematic Review of 3D Bioprinting in Biomedicine.International journal of molecular sciences · 2025
    Pooled it
  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

5 authors at 2 institutions in 1 country.

Han LiThe First Rehabilitation Hospital of Shanghai, School of Medicine, Tongji University, Shanghai 200092, China.
Jiarong DingShanghai Changhai Hospital, Navy Medical University, Shanghai 200433, China.
Huan ZhangShanghai Changhai Hospital, Navy Medical University, Shanghai 200433, China.
Maoting LiShanghai Changhai Hospital, Navy Medical University, Shanghai 200433, China.
Xueli LaiShanghai Changhai Hospital, Navy Medical University, Shanghai 200433, China.ORCID 0000-0003-1995-1845
Second Military Medical University · CNTongji University · CN

Funding

National Natural Science Foundation of China 61801329National Natural Science Foundation of China 81800678Project of the Science and Technology Commission of Yangpu District YP19ZB05
6 · The paper itself

Abstract

Renal fibrosis, which is characterized as progressive extracellular matrix accumulation, is a common feature of different stages of chronic kidney disease, and the degree of fibrosis is strongly associated with renal function. In clinical practice, precise understanding of the space distribution of fibrosis is extremely important for the diagnosis and prognosis of renal disease. Rapid advances in terahertz (THz) technology have been made, and this technology has a broad application in bio-detection, as it can interact and measure the collective vibrations and rotations of molecular groups. It is well known that hydroxyproline (HYP) is the key component of collagen, which is synthesized by fibroblasts to maintain the extracellular matrix, and HYP content detection in tissue homogenate can be achieved by classical biochemistry method. In this study, a THz microprobe system was employed to conduct THz microspatial scanning with a resolution of 20 µm. Both the content and distribution of HYP were directly characterized by the THz absorption spectrum. The absorption intensity in the THz spectrum was used to determine HYP density in renal tissues; therefore, the fibrosis change in the kidneys can be determined using THz scanning at micrometer resolution, which provides more possibilities for precise diagnosis of renal fibrosis.

Indexed as

early diagnosismicroprobe terahertz spectroscopynon-invasiverenal fibrosis

Identifiers

PMID35885509
PMCPMC9316920
OpenAlexW4283749160

What OpenQuestion holds

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LicenceCC BY
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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.