Literature bias, which can reduce the validity of a systematic review, comes mainly from the fact that all the related studies can not be collected without exception. The following three types of literature bias are most common. (1) Publication bias. The reason is that some studies can not get published, or the publication has been delayed. (2) Literature retrieval bias. This bias is the result that not all published studies are retrieved during the course of systematic review. (3) Literature inclusion bias. While an improper literature selection strategy is adopted, some useful studies are kicked out by error, leading to such bias. A funnel plot (Y-axis is rumple size, X-axis effect) is usually useful to assess literature bias in a systematic review.
In the context of the rapid development of contemporary medical industry and the unbalanced development of various subspecialties, expert consensus plays an extremely important role in guiding clinical practice and improving the quality of medical care. However, there are some deficiencies and limitations in the formation process and final report of the expert consensus. Therefore, this paper summarizes and reviews the definition, applications, and functions of expert consensus and the new progress of expert consensus formation methods by fully reviewing the literature, and puts forward the prospect. The purpose is to provide a reference for the production and application of expert consensus related to medical care, improve the outcomes of medical care, and upgrade the quality and level of medical services.
Objectives To analyze and assess the status of detection of human immune-deficiency virus (HIV) by PCR, and to find a new screening test of HIV. Methods Using the following keywords "diagnosis tests", "AIDS", "PCR" and "HIV", we searched the Medline and CBM from 1991 to 2001. Then we assess each of diagnosis test according to the international standards. Results 567 articles were searched, in which 53 articles were chosen to assess. In these 53 articles, it was found that 47% applied comparison with Golden Standard, 25% calculated sensitivity, 23% calculated specificity, and 23% calculated predictive value, no likelihood ratio was calculated in these articles. Conclusions It was still a kind of pilot-study to apply PCR to screening detection of HIV. The design methods of study should be improved.
The opportunity of vitrectomy for opening eyeball injury is one of the important factors affecting the prognosis. Anterior segment wound repaired by routine suturing needs following and continuous treatment with vitrectomy. The key technique of the following treatment should be the debridement of the inside of wound and expurgation of the surrounding tissues adjacent to the wound, and the emphasis should be put on retinal reattchment and stable repairment.
Objective To investigate the clinical features, diagnosis, and surgical methods of left-sided appendicitis (LSA). Methods We retrieved LSA-related literatures through Pubmed, Google Scholar English databases, Wanfang, CNKI, VIP, and SinoMed databases (published from January 1981 to June 2017), as well as 2 cases of LSA who treated in Beibei Traditional Chinese Medical Hospital, to analyze the clinical characteristics of LSA and its diagnosis and treatment methods. Results There were 92 articles in a total of 212 LSA patients were retrieved, and 2 cases treated in Beibei Traditional Chinese Medical Hospital, a total of 214 LSA patients were included in the analysis. Pain fixed position of LSA: 139 cases (65.0%) located in left-lower quadrant, 30 cases (14.0%) located in right-lower quadrant, 8 cases (3.7%) located in peri-umbilical, 15 cases (7.0%) located in mid-lower abdomen, 15 cases (7.0%) located in left-upper quadrant, 3 cases (1.4%) located in right-upper abdomen, 2 cases (0.9%) located in mid-upper abdomen, 2 cases (0.9%) located in pelvic cavity, respectively. LSA had occurred in association with several types of abnormal anomalies: 131 cases (61.2%) suffered from situs inversus totalis (SIT), 53 cases (24.8%) suffered from midgut malrotation (MM), 21 cases (9.8%) suffered from cecal malrotation, 4 cases (1.9%) suffered from long appendix, 2 cases (0.9%) suffered from free ascending colon, and 3 cases (1.4%) were unclear. The diagnosis of 114 LSA cases (53.3%) before operation was correct, in which the correct diagnosis rates of SIT-LSA and MM-LSA were 74.8% (98/131) and 22.6% (12/53), respectively. Three patients (1.4%) underwent conservative treatment, and 211 patients (98.6%) underwent surgical treatment, including 25 cases (11.7%) of laparoscopic surgery, 145 cases (67.8%) of open abdominal surgery, and unknown of 41 cases (19.1%). Laparotomy incision: abdominal incision in 74 cases (51.0%), ventral midline incision in 16 cases (11.0%), the left side of the anti McBurney incision in 43 cases (29.7%), right McBurney incision in 12 cases (8.3%). Conclusions LSA mainly occurs in association with 2 types of congenital anomalies: SIT and MM. There is some difficult to make diagnosis for abnormal anatomy and inaccurate pain location of LSA, so it is easy to cause the delay in diagnosis or misdiagnosis. For LSA, the choices of laparoscopy or laparotomy operation methods are applicable.
Objective To investigate an evaluation method of medical literature applicability to clinical work， and provide a convenient way for physicians to search for the best evidence. Methods Delphi method was used to choose appropriate evaluating indexes， analytic hierarchy process was performed to determine the weighing of each index， and the formula to calculate medical literature applicability was formed. The practicability of this formula was evaluated by consistency checking between the formula’s results and experts’ opinions on literature applicability. Results Five evaluating indexes were determined， including literature’s publishing year （X1）， whether the target questions were covered （X2）, sample size （X3）， trial category （X4）， and journal level （X5）. The formula to calculate medical literature applicability was Y=3.93 X1＋11.78 X2＋14.83 X3＋44.53 X4＋24.93 X5. The result of consistency checking showed that the formula’s results were highly consistent with experts’ opinions （Kappa=0.75， P＜0.001）. Conclusion The applicability formula is a valuable tool to evaluate medical literature applicability.
We searched and retrieved literature on the topic of medical image processing published on SCI journals in the past 10 years. We then imported the retrieved literature into TDA for data cleanup before data analysis and processing by EXCLE and UCINET to generate tables and figures that could indicate disciplinary correlation and research hotspots from the perspective of bibliometrics. The results indicated that people in Europe and USA were leading researchers on medical image processing with close international cooperation. Many disciplines contributed to the fast development of medical image processing with intense interdisciplinary researches. The papers that we found show recent research hotspots of the algorithm, system, model, image and segmentation in the field of medical image processing. Cluster analysis on key words of high frequency demonstrated complicated clustering relationship.
摘要:目的: 分析特非那定所致不良反應的臨床特征、相關因素,為臨床藥物治療中藥品不良反應的防治提供參考依據。 方法 :檢索1986～2008年國內文獻源特非那定的不良反應資料,并加以分析研究。 結果 :34例不良反應報告中女性明顯多于男性;不良反應以心血管系統損害最多(23例,占6766%),其次為皮膚及附件損害(5例,1470%);不良反應預后較好。 結論 :患者的性別、體質、合并用藥等因素能影響不良反應的發生,對于引起心律失常不良反應臨床應提高警惕,減少不良反應的發生。Abstract: Objective: To analyze the clinical features、correlation factors of ADRs caused by Terfenadine drugs and provide beneficial references for preventing and curing the ADRs. Methods :To collect and analyze the cases of ADRs caused by Terfenadine from medical journals of 19862008 Results :Women were more than men in 34 ADRs;cardiovascular system lesions accounted for 6766%,skin and its appendix lesions accounted for 1470%;ADRs prognosis well. Conclusion :The occurrence of ADRs caused by Terfenadine due to many factors such as sex、age and combination drug,ect. The ADRs caused by second generation antihistamine drugs must be reconstred.
ObjectiveThis study proposes employing large language models (LLMs) for medical literature quality assessment, exploring their potential to establish a standardized and scalable intelligent evaluation framework for off-label drug use (OLDU). MethodsThe study used two freely available LLMs platforms in China, DeepSeek-R1 and Doubao. Following the medical literature quality assessment tools recommended in the evidence-based evaluation specification for OLDU issued by the Guangdong Pharmaceutical Association, we selected the Jadad scale and the MINORS criteria. These tools were employed to assess the quality of the two most prevalent types of medical literature in OLDU evidence evaluation: randomized controlled trials (RCTs) and non-randomized controlled trials (non-RCTs). Utilizing chain-of-thought (CoT) prompting techniques, we developed standardized evaluation templates. The quality scores generated by the LLMs were then compared against those reported in systematic reviews or assigned by clinical pharmacists. ResultsFor RCT, DeepSeek-R1 demonstrated consistency with human assessments in quality appraisal. However, discrepancies exist between the Doubao model and manual evaluation results, with three repeated evaluations yielding inconsistent outcomes and inaccurate identification of "allocation concealment" items. For non-RCT, all models achieved concordant quality assessment outcomes with human evaluators, while demonstrating unique capacity to detect systematic evaluation inaccuracies attributable to human subjective bias. ConclusionThis study demonstrates that prompt engineering-driven LLMs can efficiently conduct quality assessments of medical literature. However, the selection of models requires rigorous validation against domain-specific benchmarks, alongside mandatory expert validation of scoring outputs. Our findings further reveal the necessity of refining current quality appraisal criteria through granular operational definitions, thereby facilitating standardized automation. This approach not only enhances the efficiency and transparency of evidence-based decision-making for OLDU but also extends to systematic reviews and rapid health technology assessments. By replacing traditional literature quality evaluation models with automated scoring mechanisms, it enables a paradigm shift in the efficiency of evidence processing.
ObjectiveTo reveal and demonstrate the hotspots and further research directions in screening technology for early lung cancer, and provide references for the future studies. MethodsResearches related to lung cancer screening from 2011 to 2021 in the Web of Science database were included. Biblioshiny, a bibliometrics program based on R language, was used to perform content analysis and visualization of the included literature information. ResultsResearches related to lung cancer screening were increasing year by year. Six major cooperation groups were formed between countries. The current research hotspots in the field of early lung cancer screening technology mainly focused on the multi-directional fusion of radiographic imaging, liquid biopsy and artificial intelligence. ConclusionLow-dose spiral CT screening is still the most important and mainstream method for the screening of early lung cancer at present. The combination and integration of artificial intelligence with various screening methods and the innovation of novel testing and diagnostic equipment are the current research hotspots and the future research trend in this field.