Evidence map›Paper›PMID 28848722›Full record

ArticleFrontiers in cellular and infection microbiology2017

Use of Digital Droplet PCR to Detect

Jiaru Yang, Xinlin Han, Aihua Liu, Xiyuan Bai, Cuiping Xu, Fukai Bao, Shi Feng, Lvyan Tao, Mingbiao Ma, Yun Peng

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
–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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Multiplex droplet digital PCR for the detection and quantitation ofFrontiers in cellular and infection microbiology · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Droplet digital PCR as alternative to microbiological culture forFrontiers in cellular and infection microbiology · 2024
    Article
  13. Article
  14. Review
  15. Detection ofPathogens (Basel, Switzerland) · 2023
    Article
  16. Article
  17. Review
  18. Application of Droplet Digital PCR to Detection ofInfection and drug resistance · 2022
    Review
  19. Article
  20. 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

10 authors.

Jiaru YangYunnan Key Laboratory for Tropical Infectious DiseasesKunming, China.
Xinlin HanYunnan Key Laboratory for Tropical Infectious DiseasesKunming, China.
Aihua LiuYunnan Key Laboratory for Tropical Infectious DiseasesKunming, China.
Xiyuan BaiDepartments of Medicine and Academic Affairs, National Jewish HealthDenver, CO, United States.
Cuiping XuYunnan Key Laboratory for Tropical Infectious DiseasesKunming, China.
Fukai BaoYunnan Key Laboratory for Tropical Infectious DiseasesKunming, China.
Shi FengDepartment of Microbiology and Immunology, School of Basic Medical Science, Kunming Medical UniversityKunming, China.
Lvyan TaoYunnan Key Laboratory for Tropical Infectious DiseasesKunming, China.
Mingbiao MaYunnan Key Laboratory for Tropical Infectious DiseasesKunming, China.
Yun PengYunnan Key Laboratory for Tropical Infectious DiseasesKunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is a chronic infectious disease that has been threatening public health for many centuries. The clinical diagnostic procedure for TB is time-consuming and laborious. In the last 20 years, real-time fluorescence-based quantitative PCR (real-time PCR) has become a better alternative for TB diagnosis in clinics due to its sensitivity and specificity. Recently, digital droplet PCR (ddPCR) has been developed, and it might be an ideal alternative to conventional real-time PCR for microorganism detection. In this study, we aimed to assess the capacity of ddPCR and real-time PCR for detecting low levels of circulating

Indexed as

AdultCell-Free Nucleic AcidsDNA, BacterialFemaleHumansMaleMycobacterium tuberculosisReal-Time Polymerase Chain ReactionSensitivity and SpecificityTuberculosis, PulmonaryCell-Free Nucleic AcidsDNA, BacterialDroplet Digital PCRmolecular diagnosisMycobacterium tuberculosistuberculosis

Identifiers

PMID28848722
PMCPMC5554497

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.