Evidence map›Paper›PMID 39614360›Full record

ReviewOrphanet journal of rare diseases2024

The development for emerging biomarkers of lymphangioleiomyomatosis.

Liting Huang, Ying Xiao, Lulu Yang, Siying Ren

Abstract readReview
In one paragraph

Review in Orphanet journal of rare diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Novel treatment strategies for lymphangioleiomyomatosis: a narrative review.European respiratory review : an official journal of the European Respiratory Society · 2025
    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.

Liting HuangDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Ying XiaoDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Lulu YangDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Siying RenDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China. syren@csu.edu.cn.ORCID 0000-0001-6618-690X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lymphangioleiomyomatosis (LAM) is a rare, slowly progressing, low-grade metastatic tumor primarily affecting women. Currently, vascular endothelial growth factor-D (VEGF-D) is the only validated diagnostic biomarker, enabling diagnosis of LAM without the need for lung biopsy in appropriate clinical settings. However, VEGF-D concentrations are normal in about 30% of patients, rendering it insufficient for diagnosing all cases of LAM. There remains a need to identify more non-invasive, safe, sensitive, and specific biomarkers associated with LAM. Therefore, it is imperative to explore novel non-invasive, safe, and specific diagnostic methods for LAM. This article aims to review biomarkers associated with LAM, including potential biomarkers newly discovered or showing advancements in classical biomarkers widely used in LAM, and discuss their application in LAM diagnosis, assessment of disease severity, prediction of treatment response, and prognosis. (LAM) 、,。,-D (VEGF-D) , LAM。, 30% VEGF-D , LAM 。 LAM 、、。,、 LAM 。 LAM , LAM , LAM 、、。.

Indexed as

LymphangioleiomyomatosisVascular Endothelial Growth Factor DBiomarkersBiomarkers, TumorFemaleHumansBiomarkersBiomarkers, TumorVascular Endothelial Growth Factor DBiomarker 生物标志物Lymphangioleiomyomatosis 淋巴管平滑肌瘤病TSC2Tuberous sclerosis complex结节性硬化症VEGF-D

Identifiers

PMID39614360
PMCPMC11605962

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.