Evidence map›Paper›PMID 39529941›Full record

ArticleInternational journal of general medicine2024

Association Between Indices of Peripheral Blood Inflammation and Cavitary Pulmonary Tuberculosis.

Xiaoshan He, Hongbiao Hou, Yuting Jiang, Xiaohuan Huang

Abstract read
In one paragraph

Article in International journal of general medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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.

Xiaoshan HeDepartment of Infectious Diseases, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, People's Republic of China.
Hongbiao HouDepartment of Infectious Diseases, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, People's Republic of China.
Yuting JiangDepartment of Infectious Diseases, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, People's Republic of China.
Xiaohuan HuangDepartment of Infectious Diseases, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore inflammation markers of C-reactive protein (CRP), neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammatory index (SII), and systemic inflammatory response index (SIRI) in the differential diagnosis of cavitary pulmonary tuberculosis (PTB) from non-cavitary PTB. Methods: This retrospective study included 1233 patients with PTB, 518 patients were diagnosed with cavitary PTB as case group, while 715 patients which diagnosed with non-cavitary PTB were selected as control group. The clinical data of patients was collected and the levels of inflammation indices were measured. Receiver operating characteristic (ROC) curve analysis was used to assess the diagnosis and analysis of selected indices. Logistic regression analysis was performed to evaluate the factors associated with cavitary PTB. Results: The CRP, NLR, MLR, PLR, SII, and SIRI in the case group were significantly higher than those in the controls (all Conclusion: CRP, PLR, and SIRI levels were associated with an increased likelihood of cavitary PTB. The combined detection of CRP, PLR, and SIRI is promising as a screening marker and may be useful for ruling out PTB with cavitary.

Indexed as

cavitary pulmonary tuberculosisC-reactive proteinplatelet-to-lymphocyte ratiosystemic inflammatory response index

Identifiers

PMID39529941
PMCPMC11552384

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.