Evidence map›Paper›PMID 28522990›Full record

ReviewFrontiers in microbiology2017

Animal Models for Tuberculosis in Translational and Precision Medicine.

Lingjun Zhan, Jun Tang, Mengmeng Sun, Chuan Qin

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

43 citing papers in PubMed, 81 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Adaptive immunity shapes baseline physiology ofbioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Deconvoluting drug interactions usingAntimicrobial agents and chemotherapy · 2025
    Article
  10. Article
  11. Review
  12. Emergence of antibiotic-specificAntimicrobial agents and chemotherapy · 2025
    Article
  13. Model systems to studyFrontiers in cellular and infection microbiology · 2025
    Review
  14. Review
  15. GEODE: anFrontiers in pharmacology · 2025
    Article
  16. Host Immune Response toJournal of inflammation research · 2025
    Review
  17. Review
  18. Article
  19. Immunopathology of PulmonaryInternational journal of molecular sciences · 2024
    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

4 authors at 2 institutions in 1 country.

Lingjun ZhanKey Laboratory of Human Disease Comparative Medicine, Ministry of HealthBeijing, China.
Jun TangKey Laboratory of Human Disease Comparative Medicine, Ministry of HealthBeijing, China.
Mengmeng SunKey Laboratory of Human Disease Comparative Medicine, Ministry of HealthBeijing, China.
Chuan QinKey Laboratory of Human Disease Comparative Medicine, Ministry of HealthBeijing, China.
State Administration of Traditional Chinese Medicine of the People's Republic of China · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is a health threat to the global population. Anti-TB drugs and vaccines are key approaches for TB prevention and control. TB animal models are basic tools for developing biomarkers of diagnosis, drugs for therapy, vaccines for prevention and researching pathogenic mechanisms for identification of targets; thus, they serve as the cornerstone of comparative medicine, translational medicine, and precision medicine. In this review, we discuss the current use of TB animal models and their problems, as well as offering perspectives on the future of these models.

Indexed as

animal modelscomparative medicineprecision medicinetranslational medicinetuberculosis

Identifiers

PMID28522990
PMCPMC5415616
OpenAlexW2610915300

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.