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LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 590-597 Body_part denotes protein http://purl.org/sig/ont/fma/fma67257
T2 1756-1765 Body_part denotes leukocyte http://purl.org/sig/ont/fma/fma62852
T3 1783-1793 Body_part denotes neutrophil http://purl.org/sig/ont/fma/fma62860
T4 1812-1822 Body_part denotes lymphocyte http://purl.org/sig/ont/fma/fma62863
T5 1856-1861 Body_part denotes serum http://purl.org/sig/ont/fma/fma63083
T6 2124-2133 Body_part denotes monocytes http://purl.org/sig/ont/fma/fma62864
T7 2220-2225 Body_part denotes serum http://purl.org/sig/ont/fma/fma63083
T8 2485-2494 Body_part denotes platelets http://purl.org/sig/ont/fma/fma62851
T9 2512-2522 Body_part denotes neutrophil http://purl.org/sig/ont/fma/fma62860
T10 2547-2557 Body_part denotes lymphocyte http://purl.org/sig/ont/fma/fma62863
T11 2808-2818 Body_part denotes hemoglobin http://purl.org/sig/ont/fma/fma62293
T12 2845-2849 Body_part denotes cell http://purl.org/sig/ont/fma/fma68646
T13 2898-2907 Body_part denotes leukocyte http://purl.org/sig/ont/fma/fma62852

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 1856-1861 Body_part denotes serum http://purl.obolibrary.org/obo/UBERON_0001977
T2 2220-2225 Body_part denotes serum http://purl.obolibrary.org/obo/UBERON_0001977

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 68-76 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T2 183-230 Disease denotes severe acute respiratory syndrome coronavirus 2 http://purl.obolibrary.org/obo/MONDO_0100096
T3 183-216 Disease denotes severe acute respiratory syndrome http://purl.obolibrary.org/obo/MONDO_0005091
T4 232-240 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T5 659-662 Disease denotes PCT http://purl.obolibrary.org/obo/MONDO_0008296|http://purl.obolibrary.org/obo/MONDO_0015104
T7 869-877 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T8 1702-1710 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T9 2087-2102 Disease denotes lymphocytopenia http://purl.obolibrary.org/obo/MONDO_0003783
T10 3072-3075 Disease denotes PCT http://purl.obolibrary.org/obo/MONDO_0008296|http://purl.obolibrary.org/obo/MONDO_0015104
T12 3220-3223 Disease denotes PCT http://purl.obolibrary.org/obo/MONDO_0008296|http://purl.obolibrary.org/obo/MONDO_0015104
T14 3338-3346 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T15 3467-3470 Disease denotes PCT http://purl.obolibrary.org/obo/MONDO_0008296|http://purl.obolibrary.org/obo/MONDO_0015104

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 78-79 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T2 119-120 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T3 156-166 http://purl.obolibrary.org/obo/BFO_0000030 denotes objectives
T4 274-275 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T5 356-368 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization
T6 393-394 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T7 793-794 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T8 1107-1108 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T9 1289-1291 http://purl.obolibrary.org/obo/CLO_0009877 denotes NY
T10 1529-1535 http://purl.obolibrary.org/obo/UBERON_0003100 denotes female
T11 1572-1576 http://purl.obolibrary.org/obo/UBERON_0003101 denotes male
T12 1572-1576 http://www.ebi.ac.uk/efo/EFO_0000970 denotes male
T13 2124-2133 http://purl.obolibrary.org/obo/CL_0000576 denotes monocytes
T14 2710-2711 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T15 2800-2801 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T16 2845-2849 http://purl.obolibrary.org/obo/GO_0005623 denotes cell
T17 3384-3385 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 561-570 Chemical denotes biomarker http://purl.obolibrary.org/obo/CHEBI_59163
T2 590-597 Chemical denotes protein http://purl.obolibrary.org/obo/CHEBI_36080
T3 615-622 Chemical denotes lactate http://purl.obolibrary.org/obo/CHEBI_24996
T4 1289-1291 Chemical denotes NY http://purl.obolibrary.org/obo/CHEBI_73427
T5 1572-1576 Chemical denotes male http://purl.obolibrary.org/obo/CHEBI_30780
T6 1641-1646 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T7 1840-1844 Chemical denotes urea http://purl.obolibrary.org/obo/CHEBI_16199
T8 2154-2158 Chemical denotes urea http://purl.obolibrary.org/obo/CHEBI_16199
T9 2163-2173 Chemical denotes creatinine http://purl.obolibrary.org/obo/CHEBI_16737
T10 2587-2597 Chemical denotes creatinine http://purl.obolibrary.org/obo/CHEBI_16737
T11 2616-2622 Chemical denotes sodium http://purl.obolibrary.org/obo/CHEBI_26708
T12 2808-2818 Chemical denotes hemoglobin http://purl.obolibrary.org/obo/CHEBI_35143
T13 2935-2939 Chemical denotes urea http://purl.obolibrary.org/obo/CHEBI_16199
T14 2944-2954 Chemical denotes creatinine http://purl.obolibrary.org/obo/CHEBI_16737

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 2039-2051 Phenotype denotes leukocytosis http://purl.obolibrary.org/obo/HP_0001974
T2 2063-2075 Phenotype denotes neutrophilia http://purl.obolibrary.org/obo/HP_0011897
T3 2087-2102 Phenotype denotes lymphocytopenia http://purl.obolibrary.org/obo/HP_0001888
T4 2185-2198 Phenotype denotes hypernatremia http://purl.obolibrary.org/obo/HP_0003228
T5 2256-2268 Phenotype denotes elevated CRP http://purl.obolibrary.org/obo/HP_0011227
T6 2966-2979 Phenotype denotes hypernatremia http://purl.obolibrary.org/obo/HP_0003228
T7 3024-3040 Phenotype denotes elevated D-dimer http://purl.obolibrary.org/obo/HP_0033106

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
1 68-76 Disease denotes COVID-19 MESH:C000657245
45 167-177 Disease denotes Infections MESH:D007239
46 183-230 Species denotes severe acute respiratory syndrome coronavirus 2 Tax:2697049
47 232-242 Species denotes SARS-CoV-2 Tax:2697049
48 308-314 Species denotes people Tax:9606
49 482-501 Disease denotes coronavirus disease MESH:D018352
50 579-597 Gene denotes C-reactive protein Gene:1401
51 599-602 Gene denotes CRP Gene:1401
52 869-877 Disease denotes COVID-19 MESH:C000657245
53 887-895 Species denotes patients Tax:9606
54 975-982 Species denotes patient Tax:9606
55 1050-1058 Species denotes patients Tax:9606
56 1320-1328 Species denotes patients Tax:9606
57 1416-1424 Species denotes patients Tax:9606
58 1450-1458 Species denotes patients Tax:9606
59 1459-1463 Disease denotes died MESH:D003643
60 1536-1544 Species denotes patients Tax:9606
61 1577-1585 Species denotes patients Tax:9606
62 1702-1710 Disease denotes COVID-19 MESH:C000657245
63 1840-1844 Chemical denotes urea MESH:D014508
64 1862-1873 Chemical denotes bicarbonate MESH:D001639
65 1885-1888 Gene denotes CRP Gene:1401
66 2011-2019 Species denotes patients Tax:9606
67 2039-2051 Disease denotes leukocytosis MESH:D007964
68 2063-2075 Disease denotes neutrophilia MESH:C563010
69 2087-2102 Disease denotes lymphocytopenia MESH:D008231
70 2154-2158 Chemical denotes urea MESH:D014508
71 2163-2173 Chemical denotes creatinine MESH:D003404
72 2185-2198 Disease denotes hypernatremia MESH:D006955
73 2265-2268 Gene denotes CRP Gene:1401
74 2364-2372 Species denotes patients Tax:9606
75 2587-2597 Chemical denotes creatinine MESH:D003404
76 2616-2622 Chemical denotes sodium MESH:D012964
77 2644-2655 Chemical denotes bicarbonate MESH:D001639
78 2684-2687 Gene denotes CRP Gene:1401
79 2781-2789 Species denotes patients Tax:9606
80 2935-2939 Chemical denotes urea MESH:D014508
81 2944-2954 Chemical denotes creatinine MESH:D003404
82 2966-2979 Disease denotes hypernatremia MESH:D006955
83 3001-3012 Chemical denotes bicarbonate MESH:D001639
84 3291-3294 Gene denotes CRP Gene:1401
85 3338-3346 Disease denotes COVID-19 MESH:C000657245
86 3414-3423 Disease denotes mortality MESH:D003643
87 3481-3484 Gene denotes CRP Gene:1401

Inflammaging

Id Subject Object Predicate Lexical cue
T1 0-77 Sentence denotes Poor Prognostic Biochemical Markers Predicting Fatalities Caused by COVID-19:
T2 78-140 Sentence denotes A Retrospective Observational Study From a Developing Country.
T3 141-404 Sentence denotes Background and objectives Infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are rapidly spreading, posing a serious threat to the health of people worldwide, resulting in the World Health Organization officially declaring it a pandemic.
T4 405-502 Sentence denotes There are several biochemical markers linked with predicting the severity of coronavirus disease.
T5 503-742 Sentence denotes This study aims to identify the most effective predictive biomarker such as C-reactive protein (CRP), ferritin, lactate dehydrogenase (LDH), procalcitonin (PCT), and D-dimer, among others, in predicting the clinical outcome of the disease.
T6 743-901 Sentence denotes Materials and methods This study was conducted as a retrospective, observational, multi-centric study, including all admitted COVID-19 positive patients only.
T7 902-1007 Sentence denotes The disease outcome was followed along with the hospital course of every patient at the time of analysis.
T8 1008-1106 Sentence denotes Baseline laboratory investigations of all patients were monitored both at admission and discharge.
T9 1107-1195 Sentence denotes A comparative analysis was done between the survivors (n=263) and non-survivors (n=101).
T10 1196-1304 Sentence denotes Statistical analysis was conducted using IBM SPSS Statistics for Windows Version 25 (Armonk, NY: IBM Corp.).
T11 1305-1464 Sentence denotes Results Of 364 patients, 65.7% were in the isolation ward, and 34.3% were in the intensive care unit; 72.3% of patients survived, while 27.7% of patients died.
T12 1465-1657 Sentence denotes The mean age of the study population was 52.6 ± 15.8 years with female patients significantly younger than male patients (p=0.001) and 50 to 75 years being the most common age group (p=0.121).
T13 1658-1957 Sentence denotes Among the survivors versus non-survivors of COVID-19, there were significant differences in total leukocyte count (p<0.001), neutrophil count, (p<0.001), lymphocyte count (p<0.001), urea (p<0.001), serum bicarbonate (p=0.001), CRP levels (p<0.001), LDH (p=0.013), and D-dimer (p<0.001) at admission.
T14 1958-2343 Sentence denotes At discharge, the laboratory values of non-surviving patients showed significant leukocytosis (p<0.001), neutrophilia (p<0.001), lymphocytopenia (p<0.001), decreased monocytes (p<0.001), elevated urea and creatinine (p<0.001), hypernatremia (p<0.001), decreased serum bicarbonate levels (p<0.001), elevated CRP level (p=0.040), LDH (p<0.001), ferritin (p=0.001), and D-dimer (p<0.001).
T15 2344-2732 Sentence denotes Among the recovered patients, the laboratory investigations at admission were significantly different from those at discharge like increased platelets (p=0.007), lower neutrophil count (p=0.001), higher lymphocyte count (p=0.005), an improved creatinine (p=0.020), higher sodium (p=0.008), increased bicarbonate levels (p<0.001), decreased CRP levels (p<0.001), and a lower LDH (p=0.039).
T16 2733-3099 Sentence denotes However, the laboratory values of non-surviving patients had shown a lower hemoglobin (p=0.016), increased mean cell volume (p<0.001), significantly increased total leukocyte count (p<0.001), increased urea and creatinine (p<0.001), hypernatremia (p<0.001), increased bicarbonate (p=0.025), elevated D-dimer levels (p=0.043), and elevated PCT (p=0.021) on discharge.
T17 3100-3185 Sentence denotes Receiver operating characteristic analysis concluded LDH (area under the curve [AUC]:
T18 3186-3207 Sentence denotes 0.875), D-dimer (AUC:
T19 3208-3229 Sentence denotes 0.803), and PCT (AUC:
T20 3230-3279 Sentence denotes 0.769) were superior biomarkers to ferritin (AUC:
T21 3280-3300 Sentence denotes 0.714) and CRP (AUC:
T22 3301-3347 Sentence denotes 0.711) in predicting the fatality of COVID-19.
T23 3348-3525 Sentence denotes Conclusion Inflammatory markers are a useful guide for predicting mortality, and the study results concluded that LDH, PCT, D-dimer, CRP, and ferritin were effective biomarkers.
T1 0-77 Sentence denotes Poor Prognostic Biochemical Markers Predicting Fatalities Caused by COVID-19:
T2 78-140 Sentence denotes A Retrospective Observational Study From a Developing Country.
T3 141-404 Sentence denotes Background and objectives Infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are rapidly spreading, posing a serious threat to the health of people worldwide, resulting in the World Health Organization officially declaring it a pandemic.
T4 405-502 Sentence denotes There are several biochemical markers linked with predicting the severity of coronavirus disease.
T5 503-742 Sentence denotes This study aims to identify the most effective predictive biomarker such as C-reactive protein (CRP), ferritin, lactate dehydrogenase (LDH), procalcitonin (PCT), and D-dimer, among others, in predicting the clinical outcome of the disease.
T6 743-901 Sentence denotes Materials and methods This study was conducted as a retrospective, observational, multi-centric study, including all admitted COVID-19 positive patients only.
T7 902-1007 Sentence denotes The disease outcome was followed along with the hospital course of every patient at the time of analysis.
T8 1008-1106 Sentence denotes Baseline laboratory investigations of all patients were monitored both at admission and discharge.
T9 1107-1195 Sentence denotes A comparative analysis was done between the survivors (n=263) and non-survivors (n=101).
T10 1196-1304 Sentence denotes Statistical analysis was conducted using IBM SPSS Statistics for Windows Version 25 (Armonk, NY: IBM Corp.).
T11 1305-1464 Sentence denotes Results Of 364 patients, 65.7% were in the isolation ward, and 34.3% were in the intensive care unit; 72.3% of patients survived, while 27.7% of patients died.
T12 1465-1657 Sentence denotes The mean age of the study population was 52.6 ± 15.8 years with female patients significantly younger than male patients (p=0.001) and 50 to 75 years being the most common age group (p=0.121).
T13 1658-1957 Sentence denotes Among the survivors versus non-survivors of COVID-19, there were significant differences in total leukocyte count (p<0.001), neutrophil count, (p<0.001), lymphocyte count (p<0.001), urea (p<0.001), serum bicarbonate (p=0.001), CRP levels (p<0.001), LDH (p=0.013), and D-dimer (p<0.001) at admission.
T14 1958-2343 Sentence denotes At discharge, the laboratory values of non-surviving patients showed significant leukocytosis (p<0.001), neutrophilia (p<0.001), lymphocytopenia (p<0.001), decreased monocytes (p<0.001), elevated urea and creatinine (p<0.001), hypernatremia (p<0.001), decreased serum bicarbonate levels (p<0.001), elevated CRP level (p=0.040), LDH (p<0.001), ferritin (p=0.001), and D-dimer (p<0.001).
T15 2344-2732 Sentence denotes Among the recovered patients, the laboratory investigations at admission were significantly different from those at discharge like increased platelets (p=0.007), lower neutrophil count (p=0.001), higher lymphocyte count (p=0.005), an improved creatinine (p=0.020), higher sodium (p=0.008), increased bicarbonate levels (p<0.001), decreased CRP levels (p<0.001), and a lower LDH (p=0.039).
T16 2733-3099 Sentence denotes However, the laboratory values of non-surviving patients had shown a lower hemoglobin (p=0.016), increased mean cell volume (p<0.001), significantly increased total leukocyte count (p<0.001), increased urea and creatinine (p<0.001), hypernatremia (p<0.001), increased bicarbonate (p=0.025), elevated D-dimer levels (p=0.043), and elevated PCT (p=0.021) on discharge.
T17 3100-3185 Sentence denotes Receiver operating characteristic analysis concluded LDH (area under the curve [AUC]:
T18 3186-3207 Sentence denotes 0.875), D-dimer (AUC:
T19 3208-3229 Sentence denotes 0.803), and PCT (AUC:
T20 3230-3279 Sentence denotes 0.769) were superior biomarkers to ferritin (AUC:
T21 3280-3300 Sentence denotes 0.714) and CRP (AUC:
T22 3301-3347 Sentence denotes 0.711) in predicting the fatality of COVID-19.
T23 3348-3525 Sentence denotes Conclusion Inflammatory markers are a useful guide for predicting mortality, and the study results concluded that LDH, PCT, D-dimer, CRP, and ferritin were effective biomarkers.

LitCovid_AGAC_only

Id Subject Object Predicate Lexical cue
p165118s18 2114-2123 NegReg denotes decreased
p165118s19 2124-2133 CPA denotes monocytes
p165118s28 2145-2153 PosReg denotes elevated
p165118s29 2154-2158 MPA denotes urea
p165118s40 2185-2198 Disease denotes hypernatremia
p165118s49 2210-2219 NegReg denotes decreased
p165118s50 2220-2244 MPA denotes serum bicarbonate levels
p165118s62 2265-2274 MPA denotes CRP level
p165118s72 2286-2289 MPA denotes LDH
p165120s1 2644-2662 MPA denotes bicarbonate levels
p165120s11 2674-2683 NegReg denotes decreased
p165120s12 2684-2694 MPA denotes CRP levels
p165120s25 2718-2721 MPA denotes LDH
p165121s13 2802-2807 NegReg denotes lower
p165121s14 2808-2818 MPA denotes hemoglobin
p165121s23 2830-2839 PosReg denotes increased
p165121s36 2882-2891 PosReg denotes increased
p165121s37 2892-2907 MPA denotes total leukocyte
p165121s39 2908-2913 CPA denotes count
p165121s48 2925-2934 PosReg denotes increased
p165121s49 2935-2954 MPA denotes urea and creatinine
p165121s60 2966-2979 Disease denotes hypernatremia
p165121s69 2991-3000 PosReg denotes increased
p165121s70 3001-3012 MPA denotes bicarbonate
p165121s79 3024-3032 PosReg denotes elevated
p165121s80 3033-3047 MPA denotes D-dimer levels
p165121s93 3063-3071 PosReg denotes elevated
p165121s94 3072-3075 MPA denotes PCT

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-77 Sentence denotes Poor Prognostic Biochemical Markers Predicting Fatalities Caused by COVID-19:
T2 78-140 Sentence denotes A Retrospective Observational Study From a Developing Country.
T3 141-404 Sentence denotes Background and objectives Infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are rapidly spreading, posing a serious threat to the health of people worldwide, resulting in the World Health Organization officially declaring it a pandemic.
T4 405-502 Sentence denotes There are several biochemical markers linked with predicting the severity of coronavirus disease.
T5 503-742 Sentence denotes This study aims to identify the most effective predictive biomarker such as C-reactive protein (CRP), ferritin, lactate dehydrogenase (LDH), procalcitonin (PCT), and D-dimer, among others, in predicting the clinical outcome of the disease.
T6 743-901 Sentence denotes Materials and methods This study was conducted as a retrospective, observational, multi-centric study, including all admitted COVID-19 positive patients only.
T7 902-1007 Sentence denotes The disease outcome was followed along with the hospital course of every patient at the time of analysis.
T8 1008-1106 Sentence denotes Baseline laboratory investigations of all patients were monitored both at admission and discharge.
T9 1107-1195 Sentence denotes A comparative analysis was done between the survivors (n=263) and non-survivors (n=101).
T10 1196-1304 Sentence denotes Statistical analysis was conducted using IBM SPSS Statistics for Windows Version 25 (Armonk, NY: IBM Corp.).
T11 1305-1464 Sentence denotes Results Of 364 patients, 65.7% were in the isolation ward, and 34.3% were in the intensive care unit; 72.3% of patients survived, while 27.7% of patients died.
T12 1465-1657 Sentence denotes The mean age of the study population was 52.6 ± 15.8 years with female patients significantly younger than male patients (p=0.001) and 50 to 75 years being the most common age group (p=0.121).
T13 1658-1957 Sentence denotes Among the survivors versus non-survivors of COVID-19, there were significant differences in total leukocyte count (p<0.001), neutrophil count, (p<0.001), lymphocyte count (p<0.001), urea (p<0.001), serum bicarbonate (p=0.001), CRP levels (p<0.001), LDH (p=0.013), and D-dimer (p<0.001) at admission.
T14 1958-2343 Sentence denotes At discharge, the laboratory values of non-surviving patients showed significant leukocytosis (p<0.001), neutrophilia (p<0.001), lymphocytopenia (p<0.001), decreased monocytes (p<0.001), elevated urea and creatinine (p<0.001), hypernatremia (p<0.001), decreased serum bicarbonate levels (p<0.001), elevated CRP level (p=0.040), LDH (p<0.001), ferritin (p=0.001), and D-dimer (p<0.001).
T15 2344-2732 Sentence denotes Among the recovered patients, the laboratory investigations at admission were significantly different from those at discharge like increased platelets (p=0.007), lower neutrophil count (p=0.001), higher lymphocyte count (p=0.005), an improved creatinine (p=0.020), higher sodium (p=0.008), increased bicarbonate levels (p<0.001), decreased CRP levels (p<0.001), and a lower LDH (p=0.039).
T16 2733-3099 Sentence denotes However, the laboratory values of non-surviving patients had shown a lower hemoglobin (p=0.016), increased mean cell volume (p<0.001), significantly increased total leukocyte count (p<0.001), increased urea and creatinine (p<0.001), hypernatremia (p<0.001), increased bicarbonate (p=0.025), elevated D-dimer levels (p=0.043), and elevated PCT (p=0.021) on discharge.
T17 3100-3185 Sentence denotes Receiver operating characteristic analysis concluded LDH (area under the curve [AUC]:
T18 3186-3207 Sentence denotes 0.875), D-dimer (AUC:
T19 3208-3229 Sentence denotes 0.803), and PCT (AUC:
T20 3230-3279 Sentence denotes 0.769) were superior biomarkers to ferritin (AUC:
T21 3280-3300 Sentence denotes 0.714) and CRP (AUC:
T22 3301-3347 Sentence denotes 0.711) in predicting the fatality of COVID-19.
T23 3348-3525 Sentence denotes Conclusion Inflammatory markers are a useful guide for predicting mortality, and the study results concluded that LDH, PCT, D-dimer, CRP, and ferritin were effective biomarkers.