Evidence map›Paper›PMID 30341241›Full record

ReviewBioscience reports2018

Application of droplet digital PCR to detect the pathogens of infectious diseases.

Haiyi Li, Ruolan Bai, Zhenyu Zhao, Lvyan Tao, Mingbiao Ma, Zhenhua Ji, Miaomiao Jian, Zhe Ding, Xiting Dai, Fukai Bao and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Bioscience reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed, 2 pooled it
12.3field-weighted citation impact, top 1% 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

134 citing papers in PubMed, 2 syntheses or guidelines pooled it, 241 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Abundance ofPathogens (Basel, Switzerland) · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

74 more citing papers are in PubMed but not listed here.

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

11 authors at 2 institutions in 1 country.

Haiyi LiFaculty of Basic Medical Sciences, Kunming Medical University, Kunming 650500, China.
Ruolan BaiFaculty of Basic Medical Sciences, Kunming Medical University, Kunming 650500, China.
Zhenyu ZhaoFaculty of Basic Medical Sciences, Kunming Medical University, Kunming 650500, China.
Lvyan TaoFaculty of Basic Medical Sciences, Kunming Medical University, Kunming 650500, China.
Mingbiao MaFaculty of Basic Medical Sciences, Kunming Medical University, Kunming 650500, China.
Zhenhua JiFaculty of Basic Medical Sciences, Kunming Medical University, Kunming 650500, China.
Miaomiao JianFaculty of Basic Medical Sciences, Kunming Medical University, Kunming 650500, China.
Zhe DingFaculty of Basic Medical Sciences, Kunming Medical University, Kunming 650500, China.
Xiting DaiFaculty of Basic Medical Sciences, Kunming Medical University, Kunming 650500, China.
Fukai BaoFaculty of Basic Medical Sciences, Kunming Medical University, Kunming 650500, China baofukai@kmmu.edu.cn lunaliu123@126.cm.ORCID 0000-0003-2652-6660
Aihua LiuFaculty of Basic Medical Sciences, Kunming Medical University, Kunming 650500, China baofukai@kmmu.edu.cn lunaliu123@126.cm.
Kunming Medical University · CNYunnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymerase chain reaction (PCR) is a molecular biology technique used to multiply certain deoxyribonucleic acid (DNA) fragments. It is a common and indispensable technique that has been applied in many areas, especially in clinical laboratories. The third generation of polymerase chain reaction, droplet digital polymerase chain reaction (ddPCR), is a biotechnological refinement of conventional polymerase chain reaction methods that can be used to directly quantify and clonally amplify DNA. Droplet digital polymerase chain reaction is now widely used in low-abundance nucleic acid detection and is useful in diagnosis of infectious diseases. Here, we summarized the potential advantages of droplet digital polymerase chain reaction in clinical diagnosis of infectious diseases, including viral diseases, bacterial diseases and parasite infections, concluded that ddPCR provides a more sensitive, accurate, and reproducible detection of low-abundance pathogens and may be a better choice than quantitative polymerase chain reaction for clinical applications in the future.

Indexed as

Communicable DiseasesDNAHumansMolecular Diagnostic TechniquesPolymerase Chain ReactionDNAdiagnosisDroplet digital PCRinfectious diseasePolymerase chain reaction

Identifiers

PMID30341241
PMCPMC6240714
OpenAlexW2897123201

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.