Evidence map›Paper›PMID 27703202›Full record

Trial reportScientific reports2016

Inflammatory markers and clinical characteristics for predicting persistent positivity of interferon gamma release assay in dialysis population.

Chin-Chung Shu, Chia-Lin Hsu, Chih-Yuan Lee, Vin-Cent Wu, Feng-Jung Yang, Jann-Yuan Wang, Chong-Jen Yu, Li-Na Lee

Abstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Chin-Chung ShuGraduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
Chia-Lin HsuDepartment of Internal Medicine, National Taiwan University Hospital, Taipei city, Taiwan.
Chih-Yuan LeeDepartment of Surgery, National Taiwan University Hospital, Taipei City, Taiwan.
Vin-Cent WuDepartment of Internal Medicine, National Taiwan University Hospital, Taipei city, Taiwan.
Feng-Jung YangDepartment of Internal Medicine, National Taiwan University Hospital, Yun-Lin branch, Yun-Lin county, Taiwan.
Jann-Yuan WangDepartment of Internal Medicine, National Taiwan University Hospital, Taipei city, Taiwan.
Chong-Jen YuDepartment of Internal Medicine, National Taiwan University Hospital, Taipei city, Taiwan.
Li-Na LeeDepartment of Internal Medicine, National Taiwan University Hospital, Taipei city, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interferon-gamma release assay (IGRA) is useful for diagnosing latent tuberculosis infection (LTBI), however the rate of negative conversion is high, especially in dialysis patients. Few studies have focused on predicting persistently positive patients who are at high risk of tuberculosis reactivation. We screened dialysis patients, and used QuantiFERON-TB Gold In-tube (QFT-GIT) to identify LTBI. Of the 157 participants who had initially positive QFT-GIT, 82 had persistently positivity and 75 had negative conversion. The persistently positive group were younger, more were current smokers, and had higher plasma level of soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) and QFT-GIT responses than the negative conversion group. Multivariate logistic regression for persistent positivity revealed that high plasma sTREM-1 and QFT-GIT response, young age and TB contact history were independent factors. Currently smoking had borderline significance. The area under the receiver operating characteristic curve using the multi-factor model was 0.878, higher than 0.821 by QFT-GIT response of 0.95 IU/ml. In conclusion, dialysis patients with persistent LTBI status may be associated with a young age, high plasma sTREM-1, strong QFT-GIT response, currently smoking, and TB contact history. If resources are limited, these five predictors can be used to prioritize QFT-GIT-positive dialysis patients for LTBI treatment.

Indexed as

Renal DialysisAgedAge FactorsBiomarkersFemaleHumansInflammation MediatorsInterferon-gammaLatent TuberculosisMaleMiddle AgedTriggering Receptor Expressed on Myeloid Cells-1BiomarkersIFNG protein, humanInflammation MediatorsInterferon-gammaTREM1 protein, humanTriggering Receptor Expressed on Myeloid Cells-1

Identifiers

PMID27703202
PMCPMC5050411

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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.