ArticleInternational journal of clinical and experimental medicine2015
Diagnostic value of bone-specific alkaline phosphatase in lung carcinoma patients with bone metastases: a meta-analysis.
Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled 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.
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
4 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Diagnostic value of alkaline phosphatase and bone-specific alkaline phosphatase for metastases in breast cancer: a systematic review and meta-analysis.Breast cancer research and treatment · 2023Pooled it
- The association between pretreatment serum alkaline phosphatase and prognosis in hepatocellular carcinoma: A meta-analysis.Medicine · 2020Pooled it
- Prognostic biomarkers for overall survival in patients undergoing surgery for bone metastases: a pan-cancer study.Frontiers in medicine · 2025Article
- Efficiency and Stability of Transarterial Chemoembolization Combined With or Without Lenvatinib for Unresectable Hepatocellular Carcinoma.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
unlabelledAim and Backgrounds: The accurate diagnosis of lung carcinoma patients with bone metastases is crucial for therapy and the prevention of complications. We performed a systematic review and meta-analysis to evaluate the diagnostic value of serum bone-specific alkaline phosphatase (BALP) in lung carcinoma patients with bone metastases.
methodsSuch databases as PubMed, Embase, Cochrane Library, Web of Science, Ovid, BioMed Central, Biosis previews and four Chinese databases (Chinese Biomedical Literature Database-disc (CBM), Chinese National Knowledge Infrastructure (CNKI), Technology of Chongqing (VIP) and Wan Fang DATA) were retrieved on computer, and the relevant journals were also manually searched to collect the trials on BALP in diagnosis of lung carcinoma patients with bone metastases. The meta-analysis was conducted by using Meta-Disc 1.4 software.
resultsA total of 8 studies were included, and there were 848 lung carcinoma patients diagnosed by gold standard, patients were divided into two groups: 419 cases with bone metastases and 429 cases without bone metastases. The meta-analysis showed that, the pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odds ratio (DOR) was 0.48 [95% CI (0.43 to 0.53)], 0.86 [95% CI (0.82 to 0.89)], 3.14 [95% CI (2.47 to 3.99)], 0.62 [95% CI (0.56 to 0.68)], 6.66 [95% CI (4.62 to 9.60)] respectively. And the AUC of SROC was 0.78, (Q*=0.72).
conclusionBALP has greater diagnostic value in detecting lung carcinoma patients with bone metastases. However, further large scale studies are required to confirm the predictive value.
Indexed as
Identifiers
26770319PMC4694219What 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.