Observational studyInternal medicine (Tokyo, Japan)2017
Factors for Predicting Outcomes among Non-HIV Patients with Pulmonary Tuberculosis.
Observational study in Internal medicine (Tokyo, Japan), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Nomogram for Predicting Poor Prognosis of Newly Diagnosed Active Pulmonary Tuberculosis Based on PNI: Development and Internal Validation.Infection and drug resistance · 2026Article
- Circulating antibody signatures againstFrontiers in immunology · 2026Article
- Associations between nutritional and immune status and clinicopathologic factors in patients with tuberculosis: A comprehensive analysis.Frontiers in cellular and infection microbiology · 2022Article
- Impact of nutritional index on contrast-associated acute kidney injury and mortality after percutaneous coronary intervention.Scientific reports · 2021Article
- Clinical significance of Glasgow Prognostic Score in patients with tuberculous pleurisy.Journal of thoracic disease · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective Onodera's Prognostic Nutritional Index (PNI), determined as "10× albumin (g/dL) + 0.005× lymphocyte count (/μL)," was originally designed to determine the risk of complications following gastrointestinal surgery. This single-center, retrospective observational study was designed to investigate whether or not the PNI can predict the treatment outcome. Methods We consecutively reviewed HIV-negative pulmonary tuberculosis adults in an isolation ward. Most patients were being treated with standard three- or four-drug regimens. Patients were discharged after consecutive negative smears/cultures were confirmed. The risk of all-cause death was assessed using a multivariable Cox proportional hazard model and a log-rank trend test. Results During the observation period, we observed 371 consecutive patients with a median age of 72 (interquartile range [IQR]: 54-82) years. In our cohort, 295 (79.5%) patients were discharged alive, and 76 (20.5%) died in-hospital. Patients who died in-hospital had a lower PNI [median 21.2 (IQR: 18.5-25.9)] than those who were discharged alive [median 35.1 (IQR: 28.0-43.3); p<0.001]. The area under the receiver operating characteristic curve was 0.87. After dividing the patients based on the baseline PNI quartile, those patients with a lower PNI showed a poorer survival than those with a higher PNI (log-rank trend p<0.001). After adjusting for other baseline variables, the baseline PNI was still associated with in-hospital death with a hazard ratio of 0.86 (95% confidence interval: 0.82-0.91, p<0.001). Conclusion Our results showed that a low PNI was clearly related to a poor survival prognosis in smear-positive HIV-negative pulmonary tuberculosis inpatients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.